Smart Farming Powered by IoT


Smart Farming Powered by IoT

The 20th century was a great time for advancements in technology for agriculture and farming. The time saw the mechanical innovations of numerous harvesters and tractors. The 21st century has proven to be no different as the technological advancements in agriculture and farming have been constant. The driving force behind increased agricultural yield today is the Internet of Things (IoT).

The use of IoT in agriculture has paved the way for smart farming methods that eradicate any inefficiency and give over all the control to the farmer. The farmer can keep a vigilant eye over all aspects of the yield, and then take necessary actions based on what they deems feasible. The applications that have enhanced the yield we get from farming include livestock monitoring, vehicle tracking, storage checking and many other innovations. The implementation of these methods has been fruitful for farmers as they can detect all anomalies right at their core. Since most farmers have to compensate for the human error when they are farming, the use of IoT would mean that the human error would reduce significantly.

Here we have a few examples concerned with the use of IoT in agriculture.

  • Livestock sensors in place in cattle can notify ranchers of instances when some of the animals have roamed away from the herd. Based on this information, farmers can actually save their animals from roaming into the wild or being attacked by other wild animals in many cases.
  • Soil sensors have led the innovations toward precision farming. These sensors can alert farmers of conditions such as high acidity and other anomalies. The farmer can then address the issue accordingly and form a judgment based on the information. This would lead to the production of better crops after the issue is addressed. Salinity or water logging in soil can reduce the yield of the crop. These factors directly impact the farming that is being done on the land and eventually reduce the yield and make the land useless for farming in the future if action is not taken. By actually knowing what’s going wrong with their land farmers can prepare in advance to compensate for the downtime.
  • The innovation of self-driving tractors has really made work easy for farmers by increasing efficiency. The tractors provide cost reductions by reducing labor costs. Moreover, since these tractors are specifically made for working in the fields, they have a good efficiency associated with them. Besides just aiding farmers in increasing the efficiency of the work done, these tractors also have low maintenance costs.

The years coming up front will see an increase in the use of these technologies as farmers recognize IoT and the opportunities it presents in agriculture.

Smart Connectivity for Legacy Devices


Smart Connectivity for Legacy Devices

Home automation products are host to a lot of attention nowadays. They are easy to connect and can go smart without a hassle. On the contrary, companies face a huge challenge in bringing that same connectivity to the legacy devices they have installed from a decade ago. Many of these legacy devices have a lot of value that they can still fulfill if they can transition into the smart world.

The Barriers

Almost 85 per cent of the devices in use within the workplace are isolated and seemingly unconnected. This presents a barrier in industrial automation as the move to smart connectivity is impeded by this. These devices tend to have a long life span and still have many years of value remaining in them.

Experts have identified two basic barriers that come in between the connectivity of legacy devices. The first issue that arises is often called as the data problem. This issue delves on the concern that once connectivity and efficiency are ultimately achieved, there may exist an opportunity to collect greater amount of data than what can be managed by the infrastructure. Companies have to evaluate concerns regarding data flooding and how they can stay on the safe side of this problem to avoid problems.

The second barrier that comes while connecting these devices to IoT is the OT/IT gap. The players taking part in each of these fields come from diverse cultures and varied attitudes towards the notion of change in technology. People in operational technology often purchase expensive hardware that stays in place for the decades to come. However, those in IT are used to updating technology whenever something better comes out.


A solution to this hindrance in industrial automation is to use gateways. These gateways can be attached to existing devices to add value for securing, filtering and aggregating their data. The implementation of the gateway means that there are endless opportunities to prevent failures and create a variety of new services. The gateway should be intelligent and must have sufficient processing power to fulfill its role.

An example of this concept could be wind farm operators, who have leveraged their legacy devices to automatically manage the generation of power. Turbines can easily monitor the spot price of energy and can control the shut-off button based on the parameters for price. This automated setup follows the concept of industrial automation and helps farmers lower costs, increase profits and avoid penalties that come with overproducing energy. They system also detects all anomalies and alerts the operators when there is a need for a maintenance check.

In regards to the OT/IT we mentioned above, it is imperative that data from our physical world should be available at all times to the Cloud for bridging the gap between these diverse fields.

Simplifying Health Monitoring with Smart Solutions


Simplifying Health Monitoring with Smart Solutions

Medical technology has come a long way in terms of advancements, with a great many health monitoring and management systems coming to the fore. The implementation of cloud computing in hospitals has led to medical institutions becoming more internally connected than ever.

Then, there is the IoT platform, which has lessened the friction that said institutions experience in terms of real-time health monitoring and in-house communications. This particular solution proved to be what the medical industry needed, and subsequent advancements can only improve on it.

Smart Solutions in Hospitals

Hospitals are naturally high-stress regions, where situational awareness is paramount. Since patient health and stability cannot always be guaranteed, realistically, it pays to have a health monitoring system in place that immediately relays the status of the situation, as well as the possible solutions of it, to the nearest concerned party.

Other than that, details regarding specific procedures can be shared with relevant hospital staff, and in many cases, a live stream of the surgery can be relayed to other surgeons, for guidance as well as observational purposes. These are technologies that have already been implemented, and can be further aided with smart devices and advanced could-based systems.

Applying Smart Solutions to Health Monitoring

The application of smart solutions to health monitoring in hospitals and medical institutions can be done either on a systematic basis, or across the board, with the new infrastructure being brought in and implemented immediately.

The fact of the matter is that the sooner medical facilities implement advanced technologies and smart solutions, the better they will be able to cope with the hassle of everyday patient-dealing.

Benefits of Using the IoT in Hospitals

Following are some of the benefits that you can expect with the usage of the IoT within hospitals.

  • Significantly Decreased Costs: Widespread connectivity between healthcare providers and patients allows for monitoring of patients to be done in real time. This will negate the need for doctors to repeatedly visit the patients assigned to them. More than that, the need for admissions in hospitals can be reduced, since active usage of IoT for monitoring systems will allow patients to stay in touch with their healthcare providers from the comfort of their own homes. All of this aids in cutting down healthcare costs and spending significantly.
  • Efficient, Real-Time Data Collection: Monitoring the development of the patient will allow doctors to gather and leverage data that can be used to not only improve treatment outcome, but also assess the patient’s condition in real-time, thereby streamlining the actual treatment. This feature can also be used for remote surgeries – in fact, advanced surgeries will benefit the most from IoT-based monitoring systems.
  • Accident and Misdiagnosis Prevention: The amount and quality of data gathered by automated monitoring system will allow for a much better diagnosis, backed by thorough analysis of all the symptoms present. Not only that, but the data will also allow much more accurate prognoses, and that too possibly through automated evaluation systems.

Winjit IoT Lab to exhibit at Mobile World Congress 2018, Barcelona


22nd February 2018, Bangalore: Winjit IoT Lab, a pioneer in providing smart IoT solutions by innovating concepts based on real-time data, is going to be part of Mobile World Congress in Barcelona which will take place at Fira Gran Via Exhibition Centre from 26th February to 1st March 2018.

Over the past decade, Winjit’s expert team of engineering professionals have provided innovative technology and engineering solutions that have resulted in world-class recognition.

Winjit is launching its new machine learning product ‘PredictSense’ which is an automated machine learning platform built on an open API structure using efficient algorithms. It helps you to solve complex real-time business problems with its high-power algorithms in a very less amount of operational time. It builds predictive models which in turn helps you take precise and optimum business decisions.

Winjit is also showcasing its IoT product ‘IoTSense’ which was also launched two years back in the same event: Mobile World Congress 2016, Barcelona. Since its launch, IoTSense has been the best example of how legacy devices and existing eco-system can be transformed into smarter businesses.   It has won the NASSCOM Emerge 50 Award, 2017 for the Most Innovative Product and Business World Leadership & CIO Award, 2017 for the Best IoT Implementation. It is smart, secure and scalable software gateway platform which enables businesses to move from traditional technology implementation to smarter, real-time and advanced technological transformation.

Commenting on the participation & the new product launch, Mr. Abhijit Junagade, Director & Founder of Winjit said, “We are delighted to be associated with this landmark event for the past few years as it provides us with an excellent platform to launch our new products, showcase our company, our industry expertise and knowledge to the top technology trends. We are looking forward to launching our new machine learning product ‘PredictSense’ and making our presence felt at the event.”

If you would like to know more about Winjit IoT Lab, head to Hall 8.1 Stall G61.

About Winjit

Winjit is India’s leading provider of innovative engineering solutions. Our expertise lies in latest trending technologies including Internet of Things, Artificial Intelligence & Machine Learning, Blockchain & Fintech, Product Engineering and Digital Publishing. We provide end-to-end solutions from conceptualization and optimization to providing real-time solutions by developing software systems for any business is our forte.

To know more about our product and services,

Secure your IoT Infrastructure with Blockchain


Secure your IoT Infrastructure with Blockchain

The distributed ledger technology that is Blockchain is reported to be the single greatest asset that companies and indeed the individual, can invest in, in the very near future. The success that the technology had in terms of cryptocurrency in no secret, and some experts have even claimed that Blockchain technology is a much better investment than the currencies themselves, in the long run.

Potential for IoT Improvement via Blockchain

The IoT framework operates on several levels, with the weakest link between the levels, and the connected users being the sensors which are constantly accumulating information to be stored and processed. The sensors are not minotored and the transaction of data is not secured within the transcaction channels.

At the moment, the IoT model is based on a single failure point; as in it is centralized, with all of the data being collected and ultimately analyzed by a single source. This presents a significant disadvantage on the network’s part, since it leaves all of the collected data vulnerable to hackers if they can access the cloud server or any of the routers.

The Blockchain system is different, in that it employs more than one source of data analysis and storage. The distributed ledger system that Blockchain operates on, spreads the data storage and processing capabilities, as well as access permissions across the entire network, with all of the devices being the barrier between hackers and the treasure trove of data.

The best practical example of a successful Blockchain application is Bitcoin, which has proven to be extremely secure, over the years. The security prospects, and the potential for process improvement that Blockchain brings to the IoT network, make it an advantageous system, as far as future functionality and widespread application is concerned.

Implementation of Blockchain into an IoT Infrastructure

An IoT infrastructure is based on the connection of several devices and people in a secure network, one which does not share content with the rest of the internet at large. This model is very beneficial to the main executive parties in the network, with the majority of the functioning of the system in their hand.

This is because an IoT based system allows for a number of processes to take place in a controlled setting, with minimal outside influence, and considerable connectivity which eases data relay.

Introducing the distributed ledger system can be like strengthening the already secure network even further, while allowing each member of the network to use it freely. On the individual front though, the real benefits are visible, since the data of the personal user can be secured further. This data may be anything, from personal details to even Bitcoin!

An IoT infrastructure can also benefit from the individual connection that the Blockchain system offers to the user, with no latency caused by relation and connections to another user.

All in all, the sooner Blockchain technology is implemented on to IoT based infrastructures, the better, in terms of both data security and user benefit.

Revolutionizing Traffic Management with IoT


Revolutionizing Traffic Management with IoT

The Internet of Things (IoT) is set to disrupt the way traffic has been managed for the past 100 years. With autonomous vehicles revolutionizing transport mobility and moving towards the tipping point  it is only natural that experts are turning towards drastically rethinking traffic management itself. For starters, with the incorporation of the Internet of Things, smart infrastructure technologies are being incorporated into traffic lights, toll booths, car parks and even the roads and bridges. This has enabled them to communicate with each other and the vehicles that traverse upon them.

If the traffic management system is considered as a singular ecosystem that is rich in feedback and does not require a controlling influence, it can make for a more efficient transport mobility system. Taking signal lights for instance, digital sensors placed within the traffic lights interacting using communications technology with the vehicles on the roads, will enable them to vary the signal timings according to traffic density to ensure the most efficient routing of traffic. This prioritization of passages based on traffic density can go a long way to help manage the traffic better.

Here are a few examples regarding how IoT can be used effectively in the creation of a smart traffic management regime with IoT.

Smart Traffic Decision Support

The smart traffic decision support is a creation of the big data analytics. It helps break down loads of hefty information into chunks that can help share necessary information across departments and systems. This system collects all traffic information through sensors for facilitating real-time traffic control and monitoring. Moreover, the solution also possesses a method to observe and predict numerous trends related to traffic.

Parking Issues and Traffic Congestion

According to a report by the World Health Organization, almost 50 per cent of the population across the globe lives in densely populated cities. Although population growth can be good for economic activity, the congestion can really have an impact on traffic. City planners can now use data analytics and other big data numbers to find out which parking slots and types are most preferred by the drivers from the region. This can assist in managing the load of traffic congestion and parking on the roads.

Improved flow of traffic will result in increased fuel efficiency in a systematic manner due to the reduction in traffic congestion. More efficient transport mobility systems based on new technologies can be used to set the toll-booth prices for particular times of the day depending on the frequency of usage of a particular passage in that time period. An approach like this can be used in the context of parking spaces which will set the prices of parking in a particular parking area depending on the demand and free space, all according to real time needs.Significant changes like these are all possible with the advent of the Internet of Things and can dramatically reduce the time lost in traffic jams and improve the flow of traffic by a huge margin if fully capitalized on.

Reducing operational cost using efficient IoT


Reducing operational cost using efficient IoT

Ensuring that your business is running efficiently and that all operational costs are limited is necessary for minimizing costs and increasing profits. One of the biggest operational problems faced by large firms is the presence of a large chunk of data. This data is often considered unnecessary for the continuity of the business.

Efficiently harnessing and implementing the data is critical for reducing operating costs for a company within the vertical industry. An IoT system can come extremely useful here since it can put an end to the lag time in between when the data is collected and when it is eventually acted upon. This creates quicker, more actionable insight for the management team to collect and implement.

An IoT system works by collecting the data right from the sensor point, sending it to the cloud for filtering it down and then effortlessly delivering it to your dashboard. With this system data isn’t lost and is processed lot quicker than it is done through conventional methods. Interestingly, only the data you deem important or relevant is visible on your dashboard, something which leads to a good coherence between data dashboards and IoT systems.

Moreover, the data pertaining to your operational activities can be collected and implemented in real time to find out any anomalies. Anomaly detection is an imperative part of IoT and places it on a higher pedestal as you can gauge your operational activities in real time and form a basic judgment based on where the anomaly is happening and how it can be countered.

Creating an IoT Ecosystem

The concept of an IoT ecosystem has recently become quite a hot prospect, cashing in on the increased operational efficiency that is promised by IoT. An ecosystem that comprises on IoT sets out to achieve the real value of IoT. The real value of IoT lies in the combination of devices with connectivity, security, technology, various APIs and cloud.

The implementation of an IoT ecosystem will help propel forward operational efficiency within the organization through an all round effort.

The design for an IoT ecosystem centers on flexible connectivity and modularity; this takes into account both hardware and software development. The IoT ecosystem, much like IoT itself, is hard to define and complex to capture based on the vastness it brings to the picture. 3 ways you can use this concept in your favor are:

  1. Inventory Management: By linking smart shelves and RFID sensors you can maintain your inventory through a real time view.
  2. Asset Maintenance: IoT can help monitor and manage smart tools, machines and vehicles. This would help in asset utilization and will also reduce downtime caused by asset failure.
  3. Workforce Management: Workforce management is an important part of IoT in organizations. With the implementation of IoT managers are no longer required to walk across the factory floor to see how workers are performing.

Make your Connected Network Scalable


Make your Connected Network Scalable

Modern smart platforms and Internet of Things (IoT) applications are limited. However, with the passage of time, we are sure to come up with several applications where embedded sensors can play a much greater role in helping us make the right decisions in transportation, luxury, comfort and other walks of life.

We need scalable platforms that can provide consistent functionality, regardless of the expansion of the current number of smart devices.

Platform Scalability

Platform scalability is an important concept. It describes the ability of an IoT platform to provide the same level of functionality, when either the number of users increases or the number of required functions are enhanced.

A scalable platform may be modular with the ability to handle the increasing demands of the user additions in a device database. The ideal cloud support is great when implementing scalable IoT platforms. They can use a modular structure and ensure that any addition to the required functionality of the system can be simply covered with the addition of cloud sources.

A scalable platform can improve an IoT application by a considerable margin. This is possible because IoT application can provide both horizontal and vertical expansion. Horizontal expansion is possible by increasing the number of sensors and processing more data to achieve better organizational results for singular functions. Vertical expansion allows the use of IoT technology to move into other, adjacent business opportunities, and this way, increasing the usefulness of the implemented IoT scalable platform.

Horizontal IoT

Horizontal IoT is great for ensuring that you can create a scalable network in the future. A horizontal application ensures that your business needs can be easily accommodated by adding more smart devices to the network. This is excellent when you have to manage a greater number of applications, devices and processes. A horizontal scalable IoT platform certainly provides the ideal answers.

Vertical Growth

It is also possible that your business experiences vertical growth. A scalable platform will ensure that you can employ other functions within your existing business model and attempt to further improve your organizational performance. IoT platforms certainly have the capacity to provide vertical scaling and create results that may only be required when the business must use the available data to carry out newer functions.

The Required Improvements

A scalable platform is the one, which offers the same level of connectivity despite the addition of devices and other processing requirements. This means that you need a solution, which ensures that your business will never suffer from a lag, where your IoT platform is unable to meet the needs of an expanded operation.

If you believe that your current business network is static, then you should look for options that ensure that your connected network becomes scalable and allows your business to take the next big step, whenever the environment is right in your industry. The improvements in your network IoT solution may allow the business to take the next step towards organizational success.

Using a scalable IoT solution for your connected network will certainly improve organizational performance and ensure that your business has the ideal tools to take the next expansion!

Proactive M2M Communication with Edge Computing


Proactive M2M Communication with Edge Computing

The Internet of Things is based on the principles of either a centralized, or distributed network, and works to enable all the possible types of communication with man and machine as the involved parties.

In the practical sense, particularly in the M2M department, IoT has aided communication a lot, through the application of edge computing.

How Edge Computing is Applied to M2M Communication

Hollywood and military fiction shows drones in the field receiving data and detailed, real-time analytics from other drones currently operational within their vicinity. This is actually based in fact, and is a technology that is in widespread use, outside of the military and Hollywood!

Military Drones: A Practical Example of M2M Communication

Since devices such as drones (essentially devices, albeit very large and complex ones) operate on a highly sophisticated network, especially when numbers are deployed, they require a central server to facilitate communication. This is not limited to centralized networks either, since advanced fly-by-wire systems can enable the machines to receive intelligence and guidance from other machines, without the need for data processing through the base.

Civilian Examples

Take, for instance, a number of diagnostic systems within a company that produces vehicles. Each aspect of the production and assembly is backed by a diagnostics system which identifies potential or currently occurring issues.

Now, if one system detects an error of glitch, it can warn the subsequent systems of the error in real-time, without the human supervisor having to step in. the issue can then be resolved by the involved machinery.

Such applications are already in play, and continue to increase in number on a daily basis, leading to the development of proactive communication between the involved machines, leading to seamless functioning.

Energy-Efficiency, Versatility and Efficient Resource Allocation

With a shared center network, resource allocation is not a problem, since each sensor is the relay between a network which can vary in size from a few to a few million! A server, which requires a considerable amount of computing power to function at its best, especially when considering a larger amount of data transaction, also consumes a large amount of energy.

When you have a network that allocates all the data and the computing power accumulated by each member, to said member, you cut down on a lot of the spending and maintenance that big, extensive and inefficient servers require. Doing so also increases the versatility of the network, meaning that it can run on just about any network type, irrespective of potential for speed and accuracy, with minimal effect on the transfer of data, since the entire network will be operating on the same connection type.


M2M communication has improved over the years, with machines running on software which feature deep learning algorithms, allowing the accumulated data to be leveraged even more effectively, and processes to be automated. This means that once a machine learns of a process, it can relay said learning to the entire network, thereby creating an efficient physical framework, and creating highly advanced infrastructure.

IoT: power of edge computing


IoT: power of edge computing

The internet of things (IoT) is a concept where embedded sensors present in everyday objects communicate with each other to share data, which when processed in real-time can be used to create solutions that rely on existing networks, like the internet. One of the amazing avenues that may empower the current capacity of IoT applications is the use of edge computing. Here, we describe the power and effectiveness of this method in improving the current usefulness of internet of things:

What is Edge Computing?

It is a computing concept where we may employ the available resources at the edge of a network, near the actual sources that are producing the data, especially in a cloud environment. These resources include laptops, smartphones and other networked devices. The use of the freely available resources may not be necessary in the present IoT application, but with the constantly increasing volume of IoT data, it will be important to find innovative methods for ensuring efficient performance.

The Application

The current cloud computing solutions put a direct strain on the internet resources that you have. Data and other information parameters must get transferred to the cloud and then be processed in real-time, which requires tremendous processing power. While this method is sufficient if we have limited data sources, it becomes exponentially difficult to employ when millions of sensors are integrated into a single system, and require thousands of processing threads at the same time.

Edge computing ensures that most of the data processing is already carried out near the data source and the internet is simply used as a vehicle for communicating that data. The information which is finally transferred to a cloud in an IoT solution will already be in its final form and can be directly used to find out the results that are required for an efficient IoT platform.

The Benefits

There are various benefits of using edge computing in IoT applications. The first benefit is that it certainly reduces the costs of operating a smart solution in a commercial setting. This happens because lower server resources are required to get the same task done in a reliable manner. The data management needs are reduced, producing lower operating costs with consistent use.

Another benefit is that you can analyze data in real-time at a local location. This ensures that your organizational performance speeds up with the use of an IoT application that employs edge computing. The network traffic in an IoT solution is significantly reduces, as most of the data is processed and turned into easier to transmit information.

Edge computing also ensures that you can process information locally and then implement a suitable compression format for sending information across the internet. This way, your internet connection is fully optimized and you can produce the ideal results with as little effort as possible.

Improved IoT application performance is a key benefit that should help you decide the ideal IoT solution for your business. Edge computing certainly allows you to produce IoT platforms that are customized and fully dedicated for your specific use.

With edge computing, the applications for IoT technology are countless!