Category: insights

How Can Startups Overcome Obstacles in the Software Development Process

Post author By Ayyamperumal
Post date July 18, 2022

How Can Startups Overcome Obstacles in the Software Development Process?

How startups can overcome obstacles in the software development process.Learn about the challenges faced by startups when developing their products.Get tips on overcoming these challenges.

The globe is bursting at the seams with technology startups. The majority of these businesses are mobile app-based. Numerous people assume that constructing a bespoke mobile app will be successful in the future because of the apparent success of many social media apps, gaming apps, eCommerce apps, and so on.

Yes, there is a success, but only if the target audience like your unique mobile app. Many of them also believe that if you create something outstanding, lots of people will flock to it.

When it comes to releasing an app that becomes a true success, this is where the majority of entrepreneurs fail on a worldwide basis.

Many of these obstacles, fortunately for them, may be addressed by strategic planning, technological expertise and resources, market research, and so on.

Software Development Journey Tips:

When you’re just starting out in software development, there are many things you should know before diving headfirst into the job market.

Begin with Expert Opinions:

The planning phase of development is critical. There are numerous approaches to mobile app development. There are thousands of languages, fabric combinations, and technologies that development requires, making it difficult for inventors to choose the right bone. It is critical for the first steps in app development to be taken correctly. From the beginning, when it is just an idea, you must be certain about the approach you will take, along with long-term and short-term goals.

For a practical approach to developing a custom mobile application, you must be concerned about app development aspects such as what type of frame you need to make whether it’s a native, cold-blooded cross-platform, what frame fits your circumstances, and what aspects you wish to add for better UI and UX.

Find the Best Development Partner:

All startups should be aware of their options, be concerned about the drawbacks of each approach, and ensure that each option is considered by their platoon.

Startups must eventually find the right mobile application development company with the best experience, technical expertise, and infrastructure to build an app for them using the best approach, tools, and methodology.

Compatibility with a Wide Variety of Device Displays:

Once your app is released, you must ensure that it is compatible with screen sizes on various operating systems. Your mobile app development must work on both smartphones and tablets.

The goal here is to achieve a responsive design that is compatible with all screen sizes and formats.

Make Yourself Visible in the Crowd:

Hundreds of thousands of new apps are registered in app stores every day. In this scenario, the most difficult challenge for any business or startup is getting noticed.

You should consider something innovative and unique about your app that is not available elsewhere in the market, as well as something that improves the app user experience.

This increases the likelihood of your mobile app staying ahead of the competition.

The best way to overcome this challenge is to understand your target users’ needs, what problems they are currently experiencing while using an existing mobile app solution, and how you can improve it.

These self-questions will help you determine what you want to build within the app.

Funding:

Once you’ve mastered mobile app development, you’ll need to make an initial investment to get the wheels in motion for the development cycle and journey. It is not a one-time investment, but you must invest on a regular basis to bring in new features, changes, and value-added modules, as the market and trends evolve over time, and your app must adapt to these trends as well.

If you don’t have a specialised background, conduct extensive research. You can get fund-friendly results that require extensive investigation. There are numerous other online platforms that offer the opportunity to obtain funds, such as app contests and crowd funding through various forums.

Make a Marketing Strategy for Your App:

You must be familiar with marketing. In this competitive world of mobile app development, you must trademark your business. To achieve success, you must focus on pre-marketing and post-marketing campaigns. A good operation requires the right approach to effectively get into the request.

Unless and until these challenges are fully addressed, operation request fashionability suffers. You can achieve your goals if you push your limits and change your path. Before you begin any mobile app development, it is critical to review the request and consider the factors affecting your development process.

Still, if you need that starting point or a mobile app development partner to make your dreams a reality, get in touch with us.

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How to Find The Right Custom Software Development Company for Your Project

Post author By Ayyamperumal
Post date July 14, 2022

5 Ways To Find The Right Custom Software Development Company for Your Project

The right custom software development company will provide you with a solution that meets all of your needs. They should also offer a wide range of services, so you can choose the ones that suit your budget and timeline.

Ask For References.

One of the first things you need to do when looking for a custom software development company is ask for references. You should request at least three different references, preferably from people who were happy with the work done by the company. If possible, try to speak directly with these references to learn more about what they liked about the service provider.

Check Out Their Portfolio.

Once you’ve found a few companies that seem promising, check out their portfolios. This will give you an idea of how well each company has been able to execute projects similar to yours.

Look at their Skillset.

If you see a lot of skills listed under one skill category, then you should probably avoid that company. It might mean that they haven’t worked with clients who need those skills before.

See how they communicate with clients.

You should also check out their communication style. Do they use plain language, jargon, or acronyms? Are they friendly, professional, or formal? How do they respond to emails? These are just some of the things you should consider when choosing a custom software development company.

Do an Interview.

Before you hire any developer, make sure you interview them. Ask questions about their background, what kind of projects they’ve worked on before, how much they charge, and whether they offer free estimates. If possible, ask for references so you can talk to previous clients.

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Why Manufacturers are Still Not Adopting IoT

Post author By Ayyamperumal
Post date July 13, 2022

Why Manufacturers are Still Not Adopting IoT

Manufacturers are using IoT to improve efficiency and reduce costs. But there are many barriers that prevent companies from fully implementing IoT solutions.

There are many reasons why manufacturers have yet to adopt IoT, including security concerns, lack of expertise, and cost.

One reason why manufacturers are reluctant to adopt IoT is because they do not understand how it will benefit them. They also fear that IoT will make their products more expensive. However, IoT has been proven to save money by reducing downtime, improving quality, and increasing productivity.

The Cost of Implementing IoT

There are several reasons why manufacturers are hesitant to adopt IoT. First, they do not understand how IoT will benefit them. They fear that IoT will make the cost of production higher. They worry that IoT will make their product more expensive. They believe that IoT will take too much time and effort to implement. They think that IoT will require too much training. They feel that IoT will be difficult to manage. They are concerned that IoT will make their business less competitive.

Depending on a company’s strategy, this may or may not be accurate. DIY factory monitoring and ad hoc or piecemeal industrial IoT systems will undoubtedly be more expensive and require investment. The price of upgrading infrastructure with pricey cable runs, device compatibility between various types and generations of OEM equipment, and other factors must also be taken into account.

The ROI is questionable when businesses use these fragmented strategies. Since it fits into a window where they believe their internal resources are most useful, many of them have used this strategy. They think it enables them to develop a system using internal IT and maintenance resources.

Alternatives, however, are now affordable and offer a fantastic ROI. Companies can utilise their data across all equipment by using a specialised turnkey platform, such as the Industrial IoT platform from Aagnia’s. The platform supports even analogue devices and is independent of OEM technology and device age.

To maximise the use of already-existing infrastructure, the platform from Aagnia’s also makes use of reliable but simple-to-install IoT devices. Because of this connectivity, the system can operate on cable, wireless, and cellular networks, eliminating the need for pricey infrastructure upgrades.

Data Security:

Security concerns with cloud-based systems existed in the past. However, the backbone of the cloud-based ecosystem has made investments in technology to make cloud-based systems more secure than on-premise systems in response to the meteoric rise of cloud computing providers like AWS, Azure, and Google Cloud.

Even among the most well-known manufacturers, IT departments are small. They cannot effectively monitor the internal system against attacks, which are almost always based on workstation entry, by investing in security technology. The most effective methods for reducing security risks are best practises and workstation-level training. To further enhance security, cloud providers can address these risks at the server level. While security was once a concern, there is currently a misconception that cloud-based IoT systems are less secure than internal IT protocols.

However, there are some benefits to using IoT. One of these benefits is that it helps companies reduce costs by reducing downtime. Another benefit is that it allows companies to monitor their products and processes remotely. This means that they can detect issues before they become major problems.

Non-qualified staff members:

Companies that have developed piecemeal or ad hoc systems have probably also produced a confusing jumble of different systems, each of which has a different learning curve.

IoT solutions from Aagnia’s make use of simple dashboards that are accessible from strategically placed HMIs. The platform requires less training and the data is contextualised to make useful insights more obvious.

Combining operational technology and legacy systems:

Many manufacturers have long suffered from a lack of interoperability, which has caused them to be wary of new technology. Platform design is crucial in this situation. By implementing IoT in-house, business IT departments could make an already frustrating interoperability issue worse. These subsystems might not be programmable or customizable due to IP and other proprietary issues.

A different strategy is used by a solution like Aagnia’s’. Through API connectivity, it interacts with other existing programmes like MRP, ERP, MES, and others to provide seamless integration. In order to improve the functionality of software systems like ERP, it drives real-time data and insights to all connected system components rather than competing with them.

IoT and Machine Data- How to Use Them for Remote Operations:

The best IoT platforms for manufacturing will provide access from anywhere. Starting with tablets on the shop floor, operators and technicians should be helped by clear dashboards. It ought to be reachable from any location on the planet using a computer, phone, or laptop.

Managers and technicians can act from any location to prevent problems because alerts in a real-time IoT system are frequently sent with prescriptive and analytical data before a problem occurs.

Using IIoT to Increase Operational Efficiency:

With industrial IoT solutions, you can accomplish a lot. Although we’ve already mentioned a few common use cases, there are countless other possibilities. Where do you start is the only issue with this.

In order to at the very least have immediate visibility into shop floor performance, we advise connecting the core of your shop floor. Real-time information about the production process gives you an immediate productivity boost because it keeps the team accountable and ensures that any issues are discovered quickly.

Additionally, if you begin by connecting your equipment, you’ll have a solid foundation on which to build and continue to add value with additional use cases, whether they support maintenance, quality, planning, or another area of the operation.

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The impact of the IIoT can be measured in three ways

Post author By Ayyamperumal
Post date July 12, 2022

The impact of the IIoT can be measured in three ways

From the top floor, you have visibility of the shop floor and field operations:

The Industrial Internet of Things provides a groundbreaking level of visibility into shop floors and field operations, as well as the ability to manage enterprise resources with ease. IIoT solutions bridge the gaps that cause ERP and MES systems to reach their limits: manual data entry and the inability to deal with comprehensive information (real-time equipment status reports, inventory item locations, and so on).

IIoT helps firms to significantly boost manufacturing process productivity by supplying manufacturers with second-by-second shop floor data. According to IBM, employing IIoT insights to optimise industrial processes can result in a 20% increase in product count from the same production line.

There are two types of IoT applications that assist manufacturers to acquire more vertical visibility:

Supporting applications for manufacturing operations
Applications that aid in the management of industrial assets.

Manufacturing operations aided by the Internet of Things:

According to a McKinsey study, the benefits of IoT applications in operations might be worth more than $470 billion per year by 2025. Monitoring and optimising equipment performance, production quality control, and human-machine interaction are all examples of IoT uses for manufacturing.

Keeping track of how much equipment is being used:

IoT solutions for monitoring machine use, according to ITIF study, can boost manufacturing productivity by 10 to 25% and generate up to $1.8 trillion in global economic value by 2025. IoT solutions for machine utilisation monitoring provide businesses with real-time equipment usage measurements, giving them a full picture of what’s going on at every stage of the manufacturing process.

Monitoring machine utilisation begins with obtaining important data regarding machine operating parameters from sensors, SCADA, or DCS systems, such as run time, actual operating speed, product production, and so on. Data is collected in real time and sent to the cloud to be processed.

The cloud collects data and transforms it into actionable insights about equipment utilisation KPIs (TEEP, OEE, setup and adjustment time, idling and minor stops, etc.). The results of the data analysis are visualised and provided to production workers via a user app (either web or mobile).

Condition monitoring is used to control product quality:

The quality of the commodities produced can be monitored in two ways: by evaluating a WIP (work in progress) as it progresses through the production cycle, or by monitoring the condition and calibration of the equipment on which a product is manufactured.

Although quality control based on checking WIPs yields more accurate findings (it aids in the discovery of tiny flaws such as inconsistencies in part alignment), there are some drawbacks that limit its application:

Only discrete manufacturing can benefit from quality control based on WIP inspection.
Because WIPs are manually examined, it is costly, time-consuming, and labor-intensive.
Because inspecting every WIP is rarely practicable, the approach provides a fractional view.

The second technique, which is based on monitoring machine status and calibration, has a narrower scope and uses a simple binary categorization of “excellent” and “not good.” It does, however, aid in the detection of manufacturing bottlenecks, the identification of poorly tuned and/or underperforming machines, the prompt prevention of machine damage, and more.

Equipment calibration, machine conditions (speed, vibration, etc.) and environmental factors (temperature, humidity, etc.) are monitored to determine when they go above normal thresholds in order to monitor the quality of the manufacturing process.

A quality monitoring solution pinpoints the source of an issue, sends an alarm, and advises a mitigation action to correct or adjust the machine and reduce the output of low-quality products if sensor readings are approaching the thresholds that can lead to a probable product defect.

Monitoring safety:

Workers in a variety of industries, including mining, oil and gas, transportation, and others, are given RFID tags that track their location as well as wearable sensors that monitor their heart rate, skin temperature, galvanic skin response, and other information.

The sensor data is sent to the cloud, where it is analysed against contextual data (such as data from environmental sensors, legacy work planning systems, weather feeds, and so on) to detect unusual behaviour patterns (such as sudden vertical movements, unusual heart rates, and so on) and to protect workers from falls, overexertion, and other injuries, as well as to report a safety threat in a timely manner.

For example, a person suffering from overheating might have a high skin temperature, a fast heart rate, and no movement patterns for roughly a minute.

An IoT solution notifies an employee’s responsible person (a worker’s management, a doctor, etc.) via a mobile application if such a circumstance is detected.

Industrial asset management IoT applications:

The Internet of Things is used in manufacturing to assure proper asset utilisation, extend equipment service life, increase dependability, and offer the highest return on assets, in addition to boosting the efficacy of industrial operations.

The following are examples of IoT applications that help with industrial asset management:

Asset tracking in the industrial sector
Inventory control is important.
Maintenance that is planned in advance (based on condition monitoring).

Asset tracking in the industrial sector:

Smart asset tracking solutions based on RFID and IoT are likely to supersede traditional spreadsheet-based approaches by 2022, according to Zebra’s 2017 Manufacturing Vision Study.

IoT-based asset management systems alleviate the tracking load from staff (freeing up to 18 hours of monthly working time) and minimise inaccuracies associated with manual data input by giving accurate real-time data about the enterprise’s assets, their statuses, locations, and movements.

IoT and RFID work together to provide asset tracking in production. Each asset is identified with an RFID tag that serves as an asset identifier, whether it’s a magnetic locator or a crane.

Each tag has a distinct ID that is linked to information about a specific asset. The ID as well as the asset data are both kept in the cloud. Physical attributes, cost, serial number, model, allocated employee, area of use, and other data may be included in the asset data.

An RFID reader situated at the yard entrance scans the tag attached to the crane and stores the record about the asset leaving the yard to an in-cloud database once an asset, such as a crane, departs an equipment storage yard.

When the crane enters a building site, for example, an RFID reader at the site entry reads the tag and updates the data in the database. The ability to see the movements of assets is made possible by logging such data along the asset’s trip.

Furthermore, GPS tracking may be utilised to determine the location of movable assets, such as construction machines.

Asset tracking technologies are also used to calculate utilisation for transportable assets. Technicians can locate idling or underused machinery and arrange preventative repair by looking at how long any movable (say, a bulldozer) is in use.

Inventory control in a business:

Manufacturers can employ IoT-driven inventory management solutions to automate inventory tracking and reporting, maintain constant visibility into the status and location of individual inventory items, and reduce lead times (the time between placing an inventory order and receiving it).

Smart inventory management solutions are said to save 20 percent to 50 percent of an enterprise’s inventory holding costs as a result of these enhancements.

IoT and RFID technologies are used in manufacturing to implement inventory management solutions. A passive RFID tag is attached to each inventory item. Each tag has its own unique ID that contains information about the item to which it is linked.

RFID readers are used to retrieve data from the tags. The IDs of tags are captured by a reader and sent to the cloud for storage and processing.

The data regarding the location of the RFID reader and the time of the reading is communicated to the cloud to establish the location and movements of the scanned tags, as well as the tags’ IDs.

The cloud determines the location and state of each item, visualises the results, and presents them to the users.

Condition monitoring and predictive maintenance:

Predictive maintenance solutions based on the Industrial IoT are predicted to lower factory equipment maintenance costs by 40% and generate $630 billion in economic value annually by 2025, according to Deloitte.

Predictive maintenance projects are being piloted by 55 percent of enterprises, indicating that the solution is leading IoT adoption. From a technology standpoint, this is how it is done.

Predictive maintenance is based on the information gleaned from continuous equipment monitoring.

Sensors are attached to a piece of equipment, which collect data on a variety of characteristics that determine its health and performance, such as temperature, pressure, vibration frequency, and so on.

Sensor readings are merged with metadata (equipment model, configuration, operational settings, etc. ), equipment usage history, and maintenance data received from ERP, maintenance systems, and other sources once the real-time data from many sensors has been collected.

On a dashboard or on a mobile app, all of the data is processed, displayed, and provided to shop floor workers.

However, reporting and visualisation alone aren’t enough to foretell the future. To enable prediction, machine learning techniques are applied to the combined data set to identify anomalous trends that could lead to equipment breakdowns.

Predictive models are built on the basis of detected data patterns by data scientists. The models are trained, tested, and then used to detect potential problems, forecast when a machine will fail, pinpoint operating circumstances and machine usage patterns that lead to failures, and so on.

For example, the machine’s condition parameters (such as temperature and vibration), operational parameters (such as speed and pressure), and environmental parameters (such as humidity and temperature) are all within standard limits.

Combining these factors and assessing the whole data set against prediction models, on the other hand, reveals that the combination of parameters that are normal when taken separately can cause, for example, a machine’s engine failure.

Once a potential failure has been discovered, the predictive maintenance system provides a message to the maintenance team, informing them of the potential for degradation and advising them on how to avoid it. Predictive maintenance capabilities is demonstrated in our smart factory demo.

Having visibility across the manufacturing supply chain is essential:

End-to-end supply chain visibility is still a long way off for 52 percent of supply chain managers. The outlook for IoT-driven manufacturing supply chain management solutions, on the other hand, is very positive:

According to IDC, by 2020, 80 percent of supply chain exchanges will take place over cloud-based networks. According to the same source, the shift to smart, IoT-enabled supply chain management solutions is expected to boost supply chain productivity by 15% and cost efficiency by 10%.

Smart supply chain management solutions give producers real-time visibility over the location, status, and condition of any object (whether it’s a single inventory item on a warehouse shelf or a truck transporting supplies) at every point in the manufacturing supply chain.

The ability to transition from knowing whether a particular SKU is available to knowing the status of each item in that SKU is an even greater benefit of IoT applied to manufacturing supply chain optimization.

Manufacturers could only acquire generic information on the availability of an SKU using traditional supply chain management systems, for example:

SKU X has 1,123 items in Warehouse 3.

With IoT in the manufacturing supply chain, businesses may collect information about the location as well as the attributes (such as manufacture date, shelf life, and so on) of each unique SKU item. Consider the following example:

Warehouse 3 has 1,123 SKU X products, including:

12 days ago, 1,000 things were made.

22 days ago, 123 things were made.

IoT is used to monitor the conditions in which the objects are stored and transported, in addition to tracking their position and attributes.

The condition of items could only be monitored once they reached at the delivery site before IoT came into play. Materials, components, and goods may now be tracked in transit, which is especially useful for manufacturers of breakable and perishable goods (e.g. pharmaceuticals, food, glassware, modern nanomaterials, etc.).

Consider a pharmaceutical firm that uses a third-party logistics service provider to deliver an order to a distribution location. The temperature inside the containers is monitored by sensors affixed to the containers.

Assume that the temperature inside the containers is beginning to rise due to a cooling system failure. The deviation from the acceptable threshold is ‘detected’ by a temperature sensor connected to the container’s inner wall.

The IoT solution tells the manufacturer that the delivery conditions have been breached, as well as the driver, who resets the cooling system, preventing the transportation of medicines from spoiling.

Remote and outsourced operations visibility:

High shipping costs, rising demand for customization, the global supply chain’s complexity, and a scarcity of local talent (thus the need to outsource) all necessitate the distribution of shop floor operations.

When a company creates or buys a manufacturing plant in another city, state, or nation, it must still adhere to the same manufacturing and production requirements (material testing, industrial automation, predictive maintenance, and other). Compliance with manufacturing standards, which is impossible to check using traditional means, can be tracked using IoT.

For example, IoT-based predictive maintenance and early detection of probable failures allows maintenance actions to be planned ahead of time and removes the need for a local repair staff.

Similarly, IoT-driven utilisation monitoring systems allow manufacturers to keep an eye on the efficiency of their production operations without having direct access to the shop floor (by delivering real-time equipment efficiency measurements).

Industrial smart, connected gadgets are another illustration of how IoT fosters distributed operations (SCPs). Hardware, sensors, networking, embedded intelligence, and cloud software are all part of smart, connected devices.

For example, industrial smart, connected products located at a manufacturing affiliate in Texas allow enterprise managers in California to get real-time data on a variety of SCP operating (e.g., changes in the temperature of transponders, critically high rotation speed of a milling machine’s spindles, etc.) and condition (e.g., temperature, vibration, etc.) parameters. Possible overload circumstances and breakages, as well as infractions of standard operating rules, are reported to the supervisors.

Small and medium-sized businesses have the same prospects as large corporations:

IoT provides comparable transformational prospects for small and medium-sized businesses by driving improvements in business and industrial processes.

A medium-sized corporation with affiliates in Illinois and Texas, for example, is geographically scattered, and so faces similar issues of distributed manufacturing as a major company with multiple affiliates in the United States and Mexico. IoT enables digital transformation for SMEs by relying on cloud computing and ubiquitous, sometimes open-source software.

The Industrial Internet of Things (IIoT) assists manufacturing companies in maximising efficiency by ensuring production uptime, lowering costs, and eliminating waste.

Manufacturers may gain a better understanding of their manufacturing and supply chain processes, increase demand forecasting, reduce time to market, and improve customer experience by leveraging IoT data.

However, given the scope and complexity of Industrial IoT efforts, successful IIoT adoption necessitates careful orchestration across all IIoT application design and execution segments.

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What to Expect From iPhone App Development

Post author By Ayyamperumal
Post date July 7, 2022

What to Expect From iPhone App Development

Do you have a brilliant concept for an iPhone app? If this is the case, you are not alone. Many people have fantastic ideas for new apps and services that they would like to see on the iPhone.

But you’re not just daydreaming about your one-of-a-kind app concept. You want to do something to bring something new and exciting to the App Store. If this describes you, you should think about working with iPhone app development services.

However, developing an app is not as simple as placing an order and letting a team do all of the work. Before you hire iPhone app developers, you should think about a few things. Before you begin, you should also have an idea of what to expect.

This article will assist you in getting started in the right direction. In this section, we’ll look at the steps involved in developing an app. We’ll also go over the average cost of developing an iPhone app and how to tell if you have a winning app idea.

Continue reading to learn everything you need to know to begin your own app development journey.

Is My App Concept Viable?

One of the most important steps in any business project is market research. Before you put your product on the market, you must be reasonably certain that people will want it. This holds true whether the product is an iPhone app or a kitchen appliance.

Many entrepreneurs begin developing their products or businesses before determining public interest in their concept. While there is nothing wrong with creating something for fun, you most likely want people to download and use your app. How can you validate your concept before investing the time and money needed to develop it?

The first step is to honestly ask yourself what problem your app will solve. If you want to pursue your idea, you should be very clear about who the app is for and what it will do.

Next, look for other apps or services that already meet this need or solve this problem. If the problem your app hopes to solve is real, there is almost certainly already a solution on the market. It’s usually a bad idea to create something that has never been done before because it makes it more difficult to find people who are looking for a solution like yours.

After you’ve identified other apps or products that already solve the problem, consider how your app idea is unique and superior. Does it solve the problem more quickly? Does it meet the need at a lower cost or with less hassle than competing services?

If you can confidently state that your app will meet a specific need for a large number of people and will do so better than anything else on the market, you have a great app idea.

How Much Does it Cost to Create an iPhone App?

Before you can confidently begin work on a new app project, you’ll need to know how much it might cost. However, as you might expect, there is no way to predict how much development will cost ahead of time. Simpler apps are less expensive, while more complex apps are more expensive, but nothing is set in stone.

Each app development process includes a number of factors that are specific to the project. All of these variables will have an impact on the final cost. Even if you can’t be certain how much an app will cost to develop, you can get a good idea of how much to budget for development.

Some of the factors that influence the cost of developing an app include:

App purpose and functionality the actual functions performed by the app

Supported devices and platforms creating an iPhone app is less expensive than creating a cross-platform app.

Hardware features that are supported or required whether the app will use built-in phone sensors such as GPS or motion co-processors.

Points of integration whether or not the app will be integrated with third-party resources to provide content.

Visual assets that are required the quantity and complexity of visual assets

Maintenance plan how much and how long the developer will work on the app after it is completed to fix bugs.

Development costs will be lower if your app runs on a single operating system, supports only a few phones, does not use advanced hardware features, and has few integration points and visual objects. It will cost more if your app needs to be cross-platform and work on multiple devices, uses multiple advanced hardware features, and has complex integration points and visuals.

What Will Happen During the Development Process?

Once you’ve done everything you can to validate your app idea and found a developer, the real work can begin.

To begin, it is important to note that each app development company has its own way of doing things. However, for the majority of projects, the development process can be divided into four stages: pre-design, design, development, and support. Let’s take a look at each of these stages and see what they’re made of.

Pre-Design:

Pre-design is the first stage of the app development process. The developer will create a strategy for your app based on your ideas and specifications. This strategy will describe the purpose, target audience, technologies, and features of the finished app.

The first step in the pre-design process is to identify the app’s primary goals. Depending on the agency you choose, the developer may spend a significant amount of time with you discussing exactly what you want the app to do. They may also conduct research on your target audience and create user personas to help guide their strategy.

The pre-design stage will produce a list of feature recommendations and technical considerations, as well as a project roadmap. This will guide the app’s development team’s future efforts.

Depending on how much time you spent validating your idea, you may have already completed a portion of the pre-design process. If this is the case, the developer may take your existing plan and strategy and devise a new approach that works for them.

Design:

The fun begins at the design stage. Here, the developer will fine-tune the design of your app.

The UI (user interface) and UX (user experience) will be conceived, iterated on, and finalised during the design stage. Afterwards, the developer will have a comprehensive blueprint for the entire app. The design phase consists of five steps: wireframe, concepts, collaborative design, prototyping, and user testing.

First, a wireframe is created. It’s a visual representation of how each screen and function in the app will be linked. Although the wireframe is visual in nature, the emphasis for this step is not on design because the app’s graphics will be created based on it.

The concepts phase is concerned with the app’s visual appearance. Typically, developers will take two or three app screens and design concepts for them. While the wireframe focuses on how the app will function, the concepts show how the app will look when completed.

After the concepts phase is completed, the collaborative design process usually begins. It entails communicating with the client to finalise the functions and appearance of the app.

Finally, prototyping entails creating a visual demo of the app, most likely by stitching together still images of different screens in the order that they would appear to an app user. Despite being only a series of images, the prototype functions like a real app.

Although not all development agencies create interactive prototypes, your developer will do something similar to test the final product. Finally, the user testing stage entails presenting the prototype or demo to a test audience and soliciting feedback.

Development:

After the design stage, you’ll have had the opportunity to test out how your app will work once it’s finished. Now comes the difficult task of actually building the app.

There isn’t much to say about the development stage because it can become quite technical. The developer will create the app from scratch using a programming language, typically Swift for iOS devices. Depending on the complexity of the app, the process can take anywhere between three and six months

The development stage will be filled with testing and troubleshooting as the developer solves problems as they arise. When completed, the first version of the app will be distributed to the client for feedback. The app will also provide you with the source code as the client.

Support:

Your new app will be finished and released to the public in the fourth and final stage. Unexpected issues and bugs are bound to be discovered as people begin to use your app. As a result, the developer will address these issues as they arise during the support stage.

The support stage may last a few months or indefinitely, depending on your contract with the development agency. It is also possible to take your app when it is finished and skip the support stage entirely, though this is not recommended.

Aagnia Technologies Provides iPhone App Development Services:

You should now understand what goes into creating a successful iPhone app. You’ve learned the fundamentals of getting your own app into the marketplace, from validating your original idea to selecting the right developer.

All you need to do now is find the best iPhone app development company and get started. Aagnia, on the other hand, has you covered with industry-leading mobile app development services.

If you believe you have a truly brilliant app idea, you deserve to see it realised. To receive a quote, please contact us today and tell us about your project.

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Native vs Hybrid vs Cross-Platform – What to Choose in 2022

Post author By Ayyamperumal
Post date June 13, 2022
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Native vs Hybrid vs Cross Platform – What to Choose in 2022?

There are numerous ways to provide users with a distinctive mobile experience. There are several approaches for developing mobile apps. Because the goals and objectives of each project alter, the methodology must always adapt. We have technologies to help us do all of them. But the real question is: which one should you choose and when? Obviously, you already know the answer: it depends.

The native app development method is the most popular. It provides you with an exceptional user experience. However, the time to market is longer than with the other two approaches. It also provides a large amount of development space. The pilot app project benefits greatly from hybrid app development because less emphasis is placed on UX and performance as it swiftly enters the market. The cross-platform is a wonderful means of choosing between the other two options. The UX and performance are comparable to the Native method, but you will save money and gain time efficiency.

This blog post will go over the differences between native, hybrid, and cross-platform mobile app development. What are their best characteristics, and when should you use them? Let’s investigate!

What is Native App Development?

The term “native app development” refers to the creation of a mobile app that is designed specifically for a single platform. The application was created using platform-specific programming languages and tools. For example, you can create native Android apps using Java or Kotlin, and iOS apps using Swift or Objective-C.

Native app development :

Most product owners dream of becoming native, but not everyone can afford it. It entails the development of a single-platform mobile app. Engineers use a programming language specific to the operating system in this scenario. For Android, it can be Java or, more recently, Kotlin, and for iOS, Swift/Objective-C. Users choose native apps because of their excellent performance and platform-specific user experience. This technique, however, deters entrepreneurs since it is costly. The primary difference between native and hybrid app development is expense.

Engineers have full access to the device’s feature set for development. This permits them to take advantage of advanced features (memory management, complex networking, etc.). However, running the programme on two platforms is the most difficult task. You’ll need to create distinct codebases for this. Some native extensions, however, allow code sharing. For example, utilising Java Native Interface, you can exchange C++ libraries between iOS and Android apps. Despite this, product owners are desperate to nearly double development costs.

Why Native apps are better?

Because native apps are created specifically for a device, they have complete access to all of the device’s functionality, including the camera, contact list, GPS, and Bluetooth. Native apps are available for download through their respective app stores: the Apple App Store for iOS and Google Play for Android.

Hybrid App Development:

For the mobile experience, native is not required. Furthermore, your project may require another priority vector, such as a short time to market. To this end, a hybrid app isn’t merely a less expensive option. It takes less time to develop and allows you to share code. Sluggish performance and a poor user experience are the flip side of the coin. From a visual aspect, it is theoretically conceivable to produce a wonderful UX and navigation patterns. However, putting this into reality is difficult.

Hybrid apps combine web and mobile elements. As a result, you construct a codebase utilising common web technologies (HTML, CSS, JavaScript etc.,). Then you wrap it in a Web View, which is a native container. Web View renders the content as a traditional website. It is in charge of the user experience and hardware access (camera, GPS, etc.). However, in terms of hybrid application development vs. native application development, the latter is relatively limited. A user can eventually download a separate app from the app store.

Cross-platform app development:

It’s crucial to distinguish between hybrid and cross-platform programmes. Perhaps the only thing they have in common is the ability to share code. As a result, they both enable you to accelerate the pipeline. The rest reveals numerous distinctions between cross-platform and hybrid app development.

A native rendering engine is used in the cross-platform development strategy. The JS codebase uses so-called bridges to link to native components. This gives a near-native user experience. Platform hooks are not present in cross-platform apps. They provide seamless functionality, simple deployment, and low-cost manufacturing. However, don’t expect a stellar performance. Customization is also a problem due to the framework’s limitations.

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Low Code vs. No Code vs. High Code: Which Is Better and Why?

Post author By Ayyamperumal
Post date June 7, 2022
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Low Code vs. No Code vs. High Code: Which Is Better and Why?

There was a time when organisations relied on developers to create a software application from the ground up by writing code. However, in today’s technologically driven world, developers no longer need to be a master of all exchanges.

The actual burden of digital innovation and its experiences has affected all areas of business, including users, customer teams, marketers, and many others. With so many technologies available around the world, modern development necessitates the use of cutting-edge solutions to deliver new services and applications.

By adopting the best approaches, modern applications should not eliminate the old-age component-based design methods. Services and components can be coupled into various application categories with higher reliability and uniformity.

However, choosing the right assembly model to ensure the success of any project is not easy. As a result, these assembly models can be divided into three categories: Low Code, No Code, and High Code.

Each assembly model has its own set of advantages. Of course, combining these approaches is required to meet all business requirements. To implement this modern development strategy, it is critical to thoroughly understand each assembly’s advantages and disadvantages.

So, without further ado, let’s break down what low code, no code, and high code are.

Crucial Distinctions: Low Code vs. No Code vs. High Code:

The rise of various methodologies and web tools has forced many professionals with no coding knowledge to play a significant role in providing excellent customer service.

So, let’s go over each method briefly.

Low Code Development:

Developers hope to create a modular platform with self-service capabilities that will allow business users to control the experience’s assembly using a low-code development platform. They can also create powerful components that can be used in a variety of applications.

Low-code solutions are generally beneficial for speed and collaboration. Low-code solutions rely on pre-built components and capabilities that can be reorganised to create different experiences.Low-code solutions are generally beneficial for speed and collaboration. Low-code solutions rely on pre-built components and capabilities that can be reorganised to create different experiences.

Low code development improves the collaboration between developers and marketers. Developers create the components, while marketers put them together to provide a better customer experience. This will result in faster market time and overall customer satisfaction because marketers will be able to easily convert detailed information into actions.

Because of concerns about security and functionality, developers have traditionally been hesitant to embrace the rise of low code/no code solutions. Still, there are ways to incorporate governance and regulations into the components and systems that are used.

Low-code can also refer to an app created with a no code/low code development platform but supplemented with code.

Many platforms, for example, allow you to add additional functionality to the frontend by adding raw HTML, JavaScript, or CSS.

No Code Development:

Business users and marketers are at the forefront of No code development. Once deployed, the No code platform does not require any coding knowledge to write a single line of code. In reality, they rely on configuration, forms, and a few tools to manage the experience.

No code solutions are used to manage specific department issues, such as page content updates, without diverting the developer’s attention away from other projects. They can also be used in nature to scale more cookie-cutter systems.

No code tools, on the other hand, are limited to developing new platforms or introducing large-scale innovations. They are typically difficult and expensive to extend, despite being quick to configure and operate. Furthermore, their adaptability is frequently limited.

High Code Development:

High code development is also known as traditional code development or full code development. Developers can build and deploy code with high code development. This assembly method is ideal for applications where the code must be linked to the user’s experience.

Developers frequently use javascript frameworks such as Angular or React, as well as frameworks designed specifically for mobile or native applications. To deliver content and data, a headless CMS or other API-based services are commonly used.

This method is ideal for developing a “code-oriented” experience that is closely related to code deployment. External systems can handle and update content and data on demand, but developers are in charge of the actual experience and interface.

When using a high code method, however, businesses are reliant on developer resources. When the developer’s attention is required for everything, the actual time is consumed by working on new features and improvements.

Use low code or no code development functionality for your project if it meets your needs. If you want to scale your product, you’ll need to use custom code. So, contact a low code/no code development company that is willing to help you implement and scale your idea.

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software development process

Post author By Ayyamperumal
Post date May 16, 2022

software development process:

What is software development Life cycle:

A software development process, in software engineering, is a method for breaking down software development work into smaller, parallel, or sequential steps or sub-processes in order to optimise design and product management.

The approach could include the pre-definition of certain deliverables and artefacts that a project team must create and complete in order to develop or maintain an application.

Software development process:

A software development process is a method of breaking down software development work into smaller, parallel, or sequential steps or sub-processes to better design and product management in software engineering.

Software development life cycle Models:

The majority of modern development processes can be classified as agile. Waterfall, prototyping, iterative and incremental development,rapid application development, spiral development, and extreme programming are some of the other approaches.

A software development “process” is a more particular term to refer to a specific process adopted by a specific business.

A life-cycle “model” is sometimes regarded a more broad term for a category of techniques. Many specialised software development techniques, for example, suit the spiral life-cycle model. The field is frequently seen as a component of the software development life cycle.

It takes a lot of effort to build for the development process, and software development is one of them. To develop software or create a product, you’ll need the framework.

There are many different techniques to follow: each one specifies an action or task that occurs during the process.

It is a solution aimed at customers who wish to create and develop applications with specific business goals in mind.

However, completing the part of the development process that is vital to this procedure is the most difficult work for software engineers. As a result, you won’t have to worry about it afterwards if you stick to the tried-and-true software development techniques. Several leading software companies can assist you with software development.

The following are the steps in the software development process:

Plan Requirement Analysis:

Planning is the first step in every procedure. You must devise a strategy that will enable you to carry out actions wisely. You must conduct a requirement analysis for your project in addition to planning.

It is critical to grasp the software product’s requirements; after you have done so, you must prepare to construct it.

As a result, you’ll probably need a knowledgeable and experienced developer who can see the criteria gaps. A requirement analysis is what it’s called. Next, determine your budget; after all, the planning procedure is successful.

You must ensure that it corresponds to your software development process strategy and product objectives.

All of this is essential to ensure that future processes go smoothly. It will aid you in making your task more manageable and allowing you to ensure that the activity is running smoothly. If something isn’t working properly, you’ll have the opportunity to fix it. After that, you must allocate resources to the process and identify what kind of resource you will need to complete it.

Design and Development:

After the requirement has been determined, the software product can be designed. You must decide how it will look, how it will perform, what factors are required to see it even better, and many other things in this step.

Software architects and developers must create the application structure. The method follows defined principles for software development and architecture.

Architects require frameworks in order to build applications using pre-existing components and others. It will be possible to work algorithmic problems consistently while designing for the model.

Agile prototyping also involves a team of experts to help distinguish between different alternatives and find the best match. They create form documents that list the models, elements, and code created during rapid prototyping sessions.

Software Testing:

It is a continuous software development process that includes both testing and development. The tests are carried out during the rapid development phase to ensure that the product is functional, usable, and stable.

We have a team dedicated to testing and quality assurance. This group examines every line of code written by the development team.

To determine whether there are faults or failures, both manual and automatic instruments are utilised. In the development stage after coding and testing, your software is deployed on the necessary servers and devices. It was only done when the product’s functionality was authorised and its stability was confirmed.

Software Maintenance:

The update and maintenance of procedures is the final phase. It’s vital to remember the customer’s software project demands and expectations after the deployment.

You must now locate and correct any mistakes, malfunctions, or faulty functionality. You must maintain and upgrade the application or software projects in order for them to run smoothly.

All of these requests must be returned to your product backlog’s work lists in order to be prioritised and become part of your product route.

Not only may it be necessary to include code that deviates from the initial plan, but even choosing how the software functions after it has been produced may necessitate significant team effort.

The task is to guarantee that bugs are maintained and fixed. The majority of maintenance consists of continuing systems to perform new forms, which can be classified as a new objective in many ways.

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As previously said, writing software is a complex process if done improperly. Hire an agency or an app developer to assist you in developing software to your specifications.

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Is your device ready for the Internet of Things?

Post author By Ayyamperumal
Post date May 12, 2022

Is your device ready for the Internet of Things?

According to Wikipedia, the Internet of Things (IoT) is a network of physical devices (“things”) such as home appliances, medical devices, industrial devices, agricultural devices, wearable devices, and other devices/items embedded with sensors, electronics, software, and other technologies for connecting and exchanging data with other devices and systems via the Internet.

The Internet of Things has evolved as a result of the convergence of multiple technologies, including real-time analytics, machine learning, sensors, and embedded electronics. Data can be published and consumed by IoT devices.

The Industrial Internet of Things (IIoT), a subset of the Internet of Things (IoT), refers to sensor data, machine communications, and automation systems.

On the other hand, the Fourth Industrial Revolution (Industry 4.0) is a much broader term that encompasses the entire digital transformation of the industry through the use of modern smart technology.

IoT ready devices are nonstandard computing devices that can connect to a network and send/receive data. IoT devices enable internet connectivity to be extended beyond the usual standard devices such as desktops, laptops, smartphones, and tablets.

Connected devices are part of an ecosystem in which they communicate with other connected devices to automate tasks. Contact us to learn more!

In a smart home, for example, connected devices such as smart TVs, smart speakers, smart appliances, smart lighting, smart thermostats, smart air conditioning, or smart security systems with cameras can all work together to make a home much smarter by using sensors and sharing data/information to control home access through facial recognition technology, home temperature, or lighting to improve energy efficiency without the owner setting foot inside the smart home.

In addition to connectivity, IoT-ready devices have intelligence and can make decisions. When a system can complete a set of tasks, learn from data, or gain information in an intelligent manner, this is referred to as artificial intelligence (AI). Manufacturers of IoT devices are gradually incorporating AI to provide greater control over the vast array of internet-connected devices and sensors.

Connectivity and AI are combined in IoT-ready devices to make the device smarter. Many businesses are eager to use IoT capabilities to gain a competitive advantage and develop new products.

Connectivity, automation, and real-time analytics are combined to create new opportunities for increasing productivity, lowering costs, enabling flexibility, and increasing profits.

IoT devices increase efficiency and can provide significant time savings, and smart device automation and control improve quality of life.

When AI is added to an IoT device, it means that it can analyze data, make decisions, and act on that data without the need for human intervention.

Sensors convert physical actions into digital data.

A sensor is any piece of hardware that converts physical activity into real-time digital data for processing, and it can be found in almost every IoT device.

Sensors enable IoT devices to monitor and collect data without human intervention, making our lives easier. For example, the Apple iWatch includes motion sensors to track the number of steps you take each day so you don’t have to! Cameras, microphones, thermometers, and pressure sensors are other examples of commonly used sensors.

Kindly contact us if you want to learn more about how sensors can make your product smarter!

Send / Receive Wireless Data - Bluetooth, Wi-Fi, RF, LORA WAN

Most IoT devices use wireless communication technology such as Wi-Fi, Bluetooth, LORAWAN, and ZigBee to connect to the internet and send and receive data. When you ask Siri a question on an iWatch, for example, it uploads the audio recording of your voice and downloads its processed response to the watch, all over a wireless network! Aagnia has experience developing software solutions for virtually every wireless application, and the products you develop with us will perform as well as today’s top IoT devices.

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Is an IoT application a good fit for your product? Contact us to speak with a consultant!

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IoT in Manufacturing Industries

Post author By Ayyamperumal
Post date May 11, 2022

IoT in Manufacturing Industries

With IoT in Manufacturing Operations, you can improve customer experience and drive business growth:

The Industrial Internet of Things (IIoT) is a method for digital manufacturing transformation. Industrial IoT collects critical production data using a network of sensors, which is then turned into useful insights about the efficiency of manufacturing operations using cloud software.

Adoption of IIoT in Manufacturing:

The following are the primary adoption drivers for Industrial IoT solutions:

Cost reduction:

Companies minimise operational expenses and generate new revenue streams through improved asset and inventory management (resulting in lower inventory carrying costs and search times), less machine downtime, more agile operations, and more effective energy use. Smart, linked products, for example, make it possible to shift from selling products to selling experiences — product consumption and after-sale services.

Shorter time-to-market:

Reduced product cycle time is possible thanks to faster and more efficient manufacturing and supply chain activities. For example, Harley-Davidson used IoT to restructure its manufacturing facility in York, Pennsylvania, reducing the time it takes to make a motorcycle from 21 days to 6 hours.

Mass customization:

The mass customization process necessitates a considerable increase in the variety of manufactured SKUs, resulting in an increase in inventory and diversification. Manufacturing activities become increasingly sophisticated as well – the manufacturing of 20 SKU X goods can be followed by the creation of 10 SKU Y things in a matter of seconds. Tracking inventory and manufacturing processes becomes time-consuming and, in some cases, impossible. By providing real-time data for smart forecasting, shop floor scheduling, and routing, the IIoT makes mass customisation easier.

Improved safety:

The IIoT contributes to a safer workplace. When combined with wearable devices, the IIoT provides for the monitoring of workers’ health and potentially dangerous actions. IIoT addresses safety issues in potentially dangerous locations in addition to protecting worker safety. For example, in the oil and gas industry, IIoT is used to trace gas leaks as they travel through the pipeline network.

For a variety of reasons, analysts believe manufacturing will continue to lead until at least 2022. IoT has the potential to usher in a new industrial revolution – Industry 4.0 – by enabling manufacturers to implement digital transformation in a variety of ways, including automation, visibility, customer-centricity, and shorter time to market.

Let's take a look at the top six IoT usage, applications, and benefits in the manufacturing industry.

Quality Control:

Manufacturers make an item, their quality control unit tests it, and they expect to identify and correct problems before the product reaches the market in a normal reactive quality control procedure.

With thermal and video sensors gathering entire product data throughout the life cycle, IoT makes this procedure proactive. The items can also be evaluated at each stage of production to ensure that their characteristics are within standards. Furthermore, production equipment instrumentation and monitoring assist quality control employees in determining if and when equipment calibration deviates from standard settings – such inaccuracies must be detected early to minimise product misalignment.

Manufacturers may be more confident in spotting quality problems at the source thanks to IoT’s support in monitoring both equipment settings and the outcomes of each manufacturing step. As a result, incremental improvements can be made over time.

Inventory Management:

Inventory management becomes more effective and seamless when IoT is combined with radio frequency identification (RFID). Every item in the inventory has an RFID tag with a unique identification number (UID) that contains encoded digital data. RFID readers may read the tags, and the information retrieved is sent to the cloud for processing.

The job of industrial IoT in this case is to turn the data collected by RFID readers into actionable business insights. It keeps track of inventory items’ whereabouts, statuses, and movements along the supply chain, and provides users with comparable outcomes.

IoT-based inventory management architecture, for example, can determine the volume of raw materials necessary for a forthcoming manufacturing cycle based on data on inventory quantity and location.

IoT-based inventory management’s outputs can be used in a variety of ways. If any individual inventory item is missing, the system can send users an alert and warn them when the materials need to be replenished.

IoT provides supply chain managers with cross-channel visibility, including a realistic estimate of available materials, fresh material arrivals, and work-in-progress, allowing them to optimise shared costs across the value chain.

Manufacturers can better prepare to receive raw materials by measuring their pace of movement and traffic flow. This reduces handling times and allows for more efficient processing of those materials in the manufacturing process.

Predictive Maintenance:

Manufacturers have always used a time-based approach to planning their machinery and equipment maintenance plans. However, according to a research by the ARC group, just 18 percent of equipment fails due to age, whereas 82 percent of failures happen at random. This demonstrates that a time-based approach is inefficient and, in the long run, costly.

Using industrial IoT and data science for predictive maintenance, manufacturers can avoid ineffective maintenance routines. They can monitor the equipment’s operational environment and do analytics utilising associated data in the cloud to analyse the actual wear and tear by employing IoT sensors (on the equipment). Prompt service and repair results in increased maintenance efficiency, better job allocation to field workers, and less downtime, as well as significant cost savings.

Steel mills, for example, have many furnaces with temperature control provided by water cooling panels. Any leaks in the panels can cause safety concerns as well as a loss of productivity. Plant managers can utilise IoT-based predictive maintenance to strategically identify anomalies and conduct a root cause study to avoid machine failures and production delays.

More Safety in Operations:

IoT improves the safety of personnel, equipment, and operations in a manufacturing plant when used in conjunction with big data analytics. It can be used to measure key performance indicators (KPIs) such as employee absences, vehicle mishaps, machinery damage, and any other occurrences that disrupt routine operations.

In this instance, IoT wearables are crucial solutions. Employees who use these devices can also have their health parameters tracked continually while working in industries and fields. It allows them to assess their exposure to process fumes, stress levels, heart rate, fatigue, and overall movement. The information gathered can help companies improve their compliance structure and cut their insurance prices.

IoT can raise security risks if there are a variety of providers and security standards, as well as a lack of standardisation. Manufacturers who use IoT must connect their operations technologies and IT infrastructure to avoid their assets being attacked by malicious attackers. They should also plan their BYOD policy to ensure that personal gadgets do not interfere with industrial activities. In this case, cloud and IoT services provider support is important.

Smart Metering:

Smart metres that can monitor water, electric power, and other fuels have also been brought to the manufacturing sector, utilities, and other businesses thanks to the Internet of Things. IoT sensors enable businesses to assess specific consumption and adopt best practises for more efficient resource allocation.

Manufacturers can thoroughly analyse the findings of smart metre monitoring using customizable end-user dashboards provided by IoT services vendors. They can also analyse the costs, efficiencies, and carbon impact of various resources in order to better incorporate them into their manufacturing processes.

Smart Packaging:

For producers, smart packaging that directly uses materials with embedded interconnectivity gives advanced IoT benefits. One of the most important features of smart packaging is that it allows consumers to interact with it while also generating data that can be used to better manage a product. Smart packaging might include culinary videos, beauty tips, and other demos to illustrate how to use the product.

Sensors, QR codes, and augmented reality/virtual reality/mixed reality choices all function together in different ways with IoT and packaging. The goal is to provide added value to customers while simultaneously collecting data (through smart tracking) to improve operations and efficiency.

We design IoT solutions for a variety of industrial operations at Aagnia Technologies. Our team works together to install bespoke tools, linked devices, and connected processes that help clients get the most out of emerging technology.

Call us at +91 75400 07581 to learn more about our IoT solutions for manufacturers.

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