Leveraging IoT for Asset Management


Leveraging IoT for Asset Management

All over the world, we see companies, institutions and even entire industries adopting the IoT as a mainstream integral aspect. There are companies that are purchasing electronic devices to better connect their employees to various parts of the supply chain, and there are institutions making use of 24/7 connectivity to ease along their processes.

The Internet of Things and Asset Management

In an effort to keep with the moving times, the asset management community has started to adopt the technology for their benefit. Since the IoT involves electronic devices, which operate on the principles of connectivity, it has become easier than ever, with the implementation of the IoT, to keep track of one’s complete assets, as well as make sure none of those are malfunctioning, or being misused.

Asset Management in Terms of Hardware and Software

The benefit of being able to track technology is not the only advantage that leveraging IoT will bring to asset management, since there is always the anti-silo disruptive potential that the internet of things has, towards traditional, legacy asset management systems.

Software asset management is another area where the internet of things can prove beneficial. Since useful analytics and data is easier to glean from software, data accumulation can be made considerably more streamlined, and the amount of leverage-worthy data can be increased.

Usage of IoT-based Devices for Smart Asset Management

IoT-based devices lend an integrally beneficial quality to the task of asset management and tracking. It is just as well, seeing as using devices for this purpose is not only cost effective, but leverages the internet of things to the fullest extent, while at the same time keeping the data received, within the closed network.

Currently, there already is a burgeoning usage of the IoT for asset management and tracking purposes, with some analysts predicting that the very same usage is expected to triple, within 4 years from now. The technologies and media used for asset management and tracking include, but are not limited to WiFi, UWB, 2G, LPWA, 5G, NB-IoT, ultrasound, RFID, infrared, among various others.

IoT-based Asset Management Systems

To aid with tracking and managing assets, leveraging the IoT is not limited to devices with stock management systems. There are several top-notch asset management systems which are optimized for devices, and which make the tracking of assets and property simple and efficient.

Following are some of the best IoT-based management systems:

  • AIRcable Gateway: This management system utilizes BLE and Wi-Fi together, and despite the small size and Bluetooth-based operation, it is quite potent in iBeacon search and server data relay.
  • BeWhere Asset Tracking: The asset management solutions presented by BeWhere are rugged, innovative and relatively weatherproof, with a 250 meter range. The industrialized software applications, hardware and sensors provide real time asset tracking.


Practically speaking, the time to broadly adopt the internet of things is now, since companies and industries are already well on their way to innovate the existing IoT layout. Leveraging IoT at this stage will prevent asset management from being left behind, in terms of tech and innovation.

Investing in a Secure Future IoT Platform


Investing in a Secure Future IoT Platform

The internet of things (IoT) is a fast-growing concept and technology. It describes the use of embedded sensors and smart devices that can connect and communicate with each other using the existing network technologies. It is a great industry for future investments. One of the important concerns with using smart devices is the security of the transmitted information. A secure IoT platform is certainly the need of the day, and people who make the right investments today will certainly benefit in the future.

The Security Challenges

With the availability of increased data due to smart embedded devices, the number of security challenges is certainly going to increase in the future. The current IoT platforms are reasonably secure, but cannot provide the same level of security on an expanded level with greater data volumes. Take the example of home devices that are fully integrated with the manufacturer as well as the municipal networks.

This will present a situation where the sheer increase in information will require that we switch to a more secure IoT platform that can handle the increased requests. With security breaches occurring on all networks, we ideally need better future IoT networks that may employ newer database practices and improved security certificates.

Older devices may find it hard to stay relevant in such an environment. Therefore, it is important that we invest in secure IoT platforms that are able to remove the security issues that come with the current systems.

Critical Technologies

There are several important security features that we will observe in modern IoT platforms that are designed to be secure from the start. Authentication is going to be implemented in these platforms that will allow smart devices to communicate to each other with safety. There will be encryption schemes that will provide security from side channel attacks as well.

Future secure IoT platforms will also have the ability to analyze security threats and generate predictions by using the data available from the smart sensors. The use of application programming interface (API) will ensure that devices will employ secure communication, ensuring that IoT application can be expanded in other industries.

Best Return on Investment (ROI)

For investors, it is all about maximizing your ROI to ensure that you can justify an investment. Future IoT platforms are all about starting from generalized solutions and then moving in to provide specific improvements in various industries.

The optimum ROI is a possibility with IoT, since it can be applied in every possible industry. From smart homes to smart manufacturing plants, the future IoT platforms are secure and have the ability to improve functionality, while taking great care of organizational secrets. The stage is set for investors to perform well, while investing in secure platforms that they can employ in their other business ventures as well.

The investments will pay off, since IoT is finding new applications every day and we are soon reaching a stage, where every device around us will be integrated to a central system and work as a giant IoT platform.

Innovative IoT for Cattle Management


Innovative IoT for Cattle Management

With smarphones, tablets and other devices tracking every move we make, the digital world is surely a reality that has snuck upon us. In fact it has been projected by Gartner that we could soon have 25 billion devices connected to IoT within the next decade.

This progress can be witnessed throughout all industries; even the field of ‘agritech’ has benefited. Cattle management for dairy and their security needs rely heavily on IoT. Let’s take a look at the few technologies that propel this movement forward in cow management.

Cattle Movement

Monitoring cattle movement to combat theft and locating their position was deemed a necessity by dairy farmers. Latest IoT innovations have brought forward a solution. BT, a company in UK, has incorporated a technology that can pinpoint the location of cattle and where are roaming on the go. The technology can work on any connected device, including your mobile, and helps you gauge the location of your cattle on the go.


Cows have a limited time period in which they are fertile. This period can be as little as 8-9 hours a month. IoTSense detects the fertility period for cattle, and ensures that this window of fertility is accounted for and made use of. This information is collected through sensors in a 1,000-meter range. These sensors conflate together to form a reading that is almost concrete when it comes to deciding the fertility period. With information regarding the fertility period, farmers can efficiently manage their cattle.


A device that follows the framework of IoT has been developed to track the activity of cows through the day. It detects all anomalies in their eating and grazing patterns and sends the information to farmers, information that they can use to control their herds. Farmers can access this data via smartphone, and act quickly to address any issues that the cattle might be facing. Since most livestock farmers suffer from downtime whenever the cattle faces problem regarding their lactation and other issues, it is really helpful for them to locate the problem in its infancy. This way around they can manage their cattle in a more authentic manner.


An upstate dairy farm in New York makes use of Astronaut robots to milk more than thousand cows. The robots are known to increase the production of cows, since they have this built-in capability to allow cows to choose the time they would like to be milked. They also gather behavioral data and study it to detect when the cows would or could produce more milk. Lactation is an important part of revenue generation for livestock farmers, and thus the reduction of any human errors in this process can directly influence the revenue coming in from the cattle.

Impact of IoT on Supply Chain Management


Impact of IoT on Supply Chain Management

Just like numerous other aspects of the economy, the burgeoning trend towards IoT is currently having a profound impact on logistics as well. The combination of analytics, cloud services and mobile computing, all of which are linked with IoT in some way has helped propel logistic services forward.

Asset Tracking

One of the biggest trends that has resulted in Supply Chain Management due to the introduction of IoT is flawless asset tracking. Companies can actually save time and money by implementing asset tracking methods that are based on the technology brought forward by IoT. Numerous delivery companies including estimated that the use of IoT technology in tracking could initiate cost savings amounting up to $1.9 trillion in the logistics sector.

This change is already underway as more than 70 per cent of all manufacturing companies have jumped on the digital transformation project when it comes to their supply chain management. Companies are willing to outsource their delivery setup because other organizations that implement IoT methods provide more feasibility to this cause. Some of these trackers include:

  • Internet Connected Trackers: These trackers use low power wide area networks to help companies locate specific items when they are in their journey. Satellite trackers fall in the same vein, and can help send data of an item from almost anywhere across the planet.
  • Bluetooth Tags: These tags offer tracking data in a more confined, smaller area. Companies have started using them within the store to monitor customer interest on the products.
  • NFC: NFC or near field communication tags allow workers to monitor the tags through their mobile devices. This is an advantage over other forms as the results are real time and spontaneous.

Fleet Management

Companies are starting to use connected solutions for fleet management to make whole process more aligned with IoT and eventually more efficient. Much like inventory management and asset tracking, these methods also implement solutions that use GPS. It has been estimated through a research conducted by Business Insider that the number of vehicles using connected fleet management will be around 180 million in North America by 2020. This would be almost 90 per cent of the whole market and roughly tenfold more than what we had back in 2010. This use of IoT governs the following three solutions in fleet management:

  1. Physical Asset Transportation and Delivery: For transporting goods for business orders.
  2. Consumer Transportation: For government and business vehicle transporting people.
  3. Field Service Vehicles: These include vehicles operated by businesses for employee transportation.

All aspects related to the supply chain management process including storage have benefited from this change. The future is bright for the industry as major giants grasp the concept for IoT.

Harnessing Fog Computing for distributed IoT Application


Harnessing Fog Computing for distributed IoT Application

One of the amazing applications of the internet of things (IoT) is to move away from centralization and look for solutions that use a distributed architecture. This is possible by employing the processing capacity of every device in the smart system to ensure faster functionality, with the ability to process a greater volume of data.

One way of empowering distributed IoT application is to harness the power of fog computing. Here, we define this method and the benefits that it offers:

What is Fog Computing?

Cisco came up with this important term, which describes the use of cloud computing in an extended manner. This is possible by bringing the available computing power close to the network of the enterprise which requires the IoT application. This technique allows for improved networking, better intra-device communication, and the ideal utilization of computing power. These are all elements that have the capacity to empower distributed IoT solutions in the following manner:

The Improvements

The increasing number of smart devices means that they are producing large volumes of data that may be difficult to process. Fog computing ensures that it is possible to process of this data as close to the edge of the network as possible. This greatly reduces the load on the external network and ensures that you can control the size of your universal database, by distributing information to local databases as much as possible.

Other improvements include increased efficiency and the ability to employ all available resources in a network. When used properly, fog computing can allow companies to come up with enhanced distributed IoT solutions that are perfect for handling  large number of devices found in enterprise networks.

The Application

Applying fog computing in an IoT application is certainly a recipe for success. The application starts by selecting an ideal platform, which is capable of performing fog computing. Companies like Amazon and others are now bringing in solutions that you can use to set up fog computing.

These IoT solutions are properly set up by using local databases and data compression schemes. The common processing tasks are carried out near the sensors which are generating the data, and then the prepared information is coded using a standardized data compression technique.

Cloud scale processing is significantly reduced by locally storing the data and then processing it using resources that are otherwise free. Amazon Web Services can be used to create such a horizontal IoT platform which can provide the required functionality in a multitude of settings. The application for fog computing also includes security methods, so that the processed information cannot be used by unauthorized personnel and devices.

An IoT application certainly becomes more powerful, when employed with fog computing. It has the capacity to reduce the workload on internet servers and improve the current generation of smart solution. With fog computing, there is certainly no limit to the scalability of a distributed IoT application too!

Enabling Efficient Usage of data with IoT


Enabling Efficient Usage of data with IoT

The Internet of Things (IoT) is a popular concept and is quickly growing and taking root in different industries. It has the capacity to offer multiple applications. However, with the increase in the number of smart devices in a network, it becomes difficult to manage the data, which is required for efficient communication and decision making.

The efficient data usage is possible when we employ user-defined databases. It allows us to compress the smart device and improve the overall efficiency of the applied IoT technology.

User Defined Databases (UDDs)

The internet of things relies on the use of smart devices that are capable of transferring information to other devices or a central system, such as a smartphone or a personal computer. In IoT, a UDD can be helpful as it will be initiated as a local database created by the individual devices, and then copied to the central system. A local database has the capacity to reduce the need for transferring large chunks of information to the central system.

Creation of UDD ensures that you already have a set of values available for quick referencing and swift communication between the smart devices. This speeds up the performance of IoT systems and ensures efficient usage of data. UDDs also have other benefits. They allow the use of the functionality on offer in embedded devices. Databases can enhance functionality as well, because they can be employed to reduce communication needs, while increasing the capacity to perform processing near the end node of smart sensors.

Data Compression

Data compression is possible when you can come with a set of rules and use a system like relational databases to carry out the required communication. There are several IEEE approved methods which can be used to compress text and other information elements that transfer information between IoT enabled devices.

Data compression techniques are important for improving the performance of various IoT applications. For instance, formats like Gzip, Deflate and Lzo compression can improve the efficiency of storing IoT device data, as well as improving the retrieval speed when a data item is required by the processing system in an application.

The use of RCFile storage may offer an ideal solution in this regard, as it allows for an improved compression ratio. The point of using these schemes is to ensure uniformity in IoT applications and a reduced need for communicating data between the different devices that are part of a smart networking solution.

Another implied method is the use of Singular value decomposition that can reduce the volume of data that needs to be transferred from smart devices to the network node responsible for decision making. Data compression methods add more value to decentralized communication as well, and can overall improve the IoT performance parameters.

With IoT enabled devices appearing in smart homes, vehicles and countless other applications, there is certainly a need to experiment with concepts such as well-defined UDD and data compression to improve data usage.

Easy Ways to Deploy IoT Solutions for Your Industry using Open Architecture


Easy Ways to Deploy IoT Solutions for Your Industry using Open Architecture

Open architecture IoT solutions certainly have the capacity to provide measurable improvements in a variety of applications. Regardless of your industry, you can always use  easy ways in which you deploy IoT solutions that improve your industry with the use of embedded sensors that can communicate with other for improved performance.

Improved Grid Management

Do you use a grid of resources? If yes, IoT solutions can certainly improve how you handle the available resources on a grid and come up with the ideal results. An open architecture system in this regard can ensure that you can make the required changes and allow others to make improvements as well. This way, you can quickly deploy and improve the current IoT solution.

Vertical Transitions

Open architecture IoT solutions can be quickly deployed for vertical project management. If your project or product must go through a dedicated set of activities to reach the completion stage, an IoT solution can be easily implemented using a simple set of smart sensors that can communicate using the standard protocols and send signals to a smart device that may use any software tool to use the available information for improved decisions.

Local Databases

Your IoT Solutions can certainly be deployed quickly if you employ open architecture and connect them to local databases and coding system. This reduces the communication, which is required between the smart devices and improves the overall system performance by a considerable market.

Going Server less

An amazing way to use open architecture IoT solutions is to look for solutions that eliminate the need for using servers. A server less approach allows the use of effective network resources, without having to rely on internet resources for processing.

Using Amazon Web Services

Amazon Web Services can be employed for creating open architecture solutions, where most tasks can be performed using the smart resources that are available at the starting nodes of the network communication. Server less data processing is possible with an AWS solution. It can be implemented using existing tools and then provide a platform which any business can use to create a ready-made scalable platform, capable of performing with the least server resources.

A server less solution when implemented with the right local database solution can certainly be effective and can be quickly implemented. The use of an effective API allows setting up an AWS IoT solution, which can easily process data from thousands of devices that are operating and communicating on a consistent basis.

Run a Pilot Test

The best way to use an open architecture IoT solution is to implement a small, pilot project. There are many software solutions that you can employ for this purpose. You can also take the help of a company that offers open architecture IoT solutions to quickly create a test bed for such a solution for your smart device needs.

Open architecture IoT solutions can greatly improve industrial smart applications and ensure that you have a scalable solution for all your future needs.

Cleaner Ecosystem with Smart Waste Management


Cleaner Ecosystem with Smart Waste Management

Waste collection has always been a necessary service for mankind. However, as cities grow bigger and metropolitans grow skywards, traditional modes of waste management will, if they already aren’t, fail to keep up with population growth. The most logical way to overcome this problem is through the implementation of smarter and more efficient waste management systems to tackle the growing waste problem.

The current modus operandi of the waste management system employed by municipal waste collection operations prioritizesemptying containers based on schedules. It is an inefficient use of the resources that a city has and forces unnecessary expenditure of fuel, e.g., in cases where they are emptying only half-filled waste bins.

Smart waste management systems can provide better operational analytics, predict amount of waste, and optimal usage of routes to improve the overall efficiency of waste management. As a result, they will ensure a cleaner ecosystem at reduced costs. City leaders are becoming more aware of the advantages of integrating new technologies into the infrastructures that help maintain the city and the fact that IoT is going to be at the core of it all, bringing about all of these changes in a quicker manner.

Intelligent waste monitoring systems that involve a network of intelligent sensors allow real-time communication between targeted waste collection areas with a municipality’s operational branches responsible for waste collection will enable faster and more efficient disposal of waste. Furthermore, it will create a more efficient route for the fleet in order to improve the efficiency with which the fuel is expended based on the need in real time rather than on a schedule.

Real Life Examples of Smart Waste Management at Work

Numerous cities across the globe have taken the lead when it comes to setting an example for others in waste management. Real life examples of this change include:


Just last year Toronto approved a comprehensive waste management strategy that is expected to span over a long period of 50 years maximum. The whole strategy includes zero waste components and circular economy.

The plan includes a comprehensive way to manage all forms of solid waste. The city planners in Toronto developed a strategy to leverage the services of nonprofit services that are already managing or are part of such services. The plan also accommodates for food waste collection in the coming 3 to 4 decades.


The most recent waste management plan in the city of Seattle was approved in 2013. The plan will be improved over every 5 years to make it even more comprehensive and updated to recent technology. Commercial entities operating in the city can manage their waste the way they want to. However, all of the other sectors are required to comply with a control requirement, which puts forward the strategy that all waste generated across the city will be handled by the city’s system.

The usage of IoT integrated waste management solutions is not something, which is commonplace right now due to lack of awareness about its utility. Given that it is a technological advancement still in its nascent stages, it nonetheless has immense potential for helping to clean up the ecosystem in a cost-effective manner.

Complete Product Lifecycle Management: IoTSense Monitoring and Maintenance


Complete Product Lifecycle Management: IoTSense Monitoring and Maintenance

One of the important avenues of using internet of things (IoT) technology is to ensure that you can perform the ideal product lifecycle management. Smart devices can provide information about your products in every step . This way, you can ensure ideal monitoring and maintenance of your product line and achieve the best results.

One of the ideal ways to do this is to use IoTSense, an excellent software tool. Here is what you need to know about this excellent tool to improve product lifecycle management.


IoTSense is a tool from Winjit which  offers an IoT platform for improved product lifecycle management.. It has the ability to offer  scalability by collecting data from any sensor in an ideal way.

Lifecyle Management

IoTSense is great for monitoring your lifecycle management, because it employs three layers of security. You can ensure that you perform the ideal maintenance of your lifecycle processes, since the platform is fully customizable. You get greater control over your sensor data, and can manage all your devices using the cloud data storage and computing.

IoTSense can be employed with both  public cloud networks as well as private or on-premises local services.  You empower your processes with the availability of multiple data platforms.

Edge Computing

IoTSense is also used for managing industry processes because it has the ability to employ the best of edge computing. It is the concept of processing information closer to the smart sensors that are generating data for internet of things application. The solution has the capability of using dynamic data communication, where the data may be processed in different steps, rather than being queued throughout the communication, which puts load on the central processing node.

Another advantage of employing IoTSense for improved control is its ability to perform machine communication in an automated manner. This allows the best user of smart devices, which can automatically communicate and improve the use of available network sources by a considerable margin.


IoTSense allows you to set up policies which help the system make automatic decisions and work to provide strong controls during the various steps of a product’s lifecycle. The triggers can include identifying faulty products or problems that may affect the final delivery after the product development lifecycle.


IoTSense has a strong dashboard that presents analytics which are updated in real-time. This allows you to improve the monitoring of your business and ensures that you can take the ideal maintenance steps along the way. You can generate customized reports and enjoy the easy process that allows you to configure the IoT software application to suit your specific needs.

With the right IoT tools, you can certainly enjoy the advantages of embedded sensors and smart device applications.

IoT and The Health of Cattle


IoTSense was featured in the Forbes Africa magazine. This article shows how IoT is leveraged in the dairy insudtry.
Agriculture is the only sector in which one can actually grow something. All the other industries are related to transferring of services, which underscores the importance of the agricultural sector in the economy. Agriculture as an industry is dealt in different ways in different type of economy. The developing economy is still trying to implement the technology in its agricultural process. And the developed economy is already using a lot of automation. The trend of automation in the agriculture sector started from the British Agricultural Revolution between 17th to 18th centuries and it has seen an upswing from then onwards. With the advent of a modern set of data stats, agriculture is changing its form and formats and globally, the income dependency of the gross domestic product has reduced on the agricultural sector. According to the United Nations, the world population will reach more than nine billion by 2050. And as we know land is a very limited resource and we have to use it wisely. This compels us to produce better yields with 14 | FORBES AFRICA IoT And The Health Of Cattle BY KETAN LOHAR, CEO OF WINJIT the ever reducing space for agriculture. Today, with Internet of Things every industry has been benefiting from the automation that has been brought into the agriculture industry. The agriculture industry is just not limited to the growing of crops but also the delivery and supply chain, cattle management, water conservation and power utility and many others.
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