With new technologies being introduced, the world and our lifestyles are also changing significantly. We see Artificial Intelligence (AI) and Machine Learning (ML) getting into our daily activities and life. The result of these technologies is that we get vacuum cleaners that learn the layout of the room; we see the banking sector implementing AI and ML to protect personal finances and detect anomalies; we see retail e-stores use this tech to cleverly manage products & services with customer preferences.

Evidently the Internet of Things (IoT) is resorting to AI and ML increasingly to optimise business operations across many industrial and commercial sectors .it also indicates that an increasing number of devices and sensors are being developed and deployed across many industries and services. Thereby an unprecedented volume of data is being generated. This is nearly impossible to be utilised or assimilated without the AI and ML involvement.

AI and ML are now turning into practical necessities because of data and software proliferation, as they are designed to handle sophisticated services that are being demanded ever more in the markets.  They find use in cross-vertical areas, such as logistics, optimisation, connected vehicles and even security & vigilance. It has started working in bank ATM security monitoring, in fleet tracking, heart monitors and home entertainment.

It all boils down to the fact that AI and ML help to better customer experience, lower a lot of costs, automate and robotise, offer more effective solutions with tangible benefits to all who use the related products and services. So businesses and organisations cannot ignore AI completely hereafter. They have to understand and correctly utilise this very potential combination of AI and ML with human potential to set themselves apart from the completion in the coming days.

The Internet of Things (IoT) is a complex web of interconnected devices, sensors, machines, gadgets, software, etc. The Trinetra T-Sense’s software platform for IoT empowers any industry (IIoT), business, service or organisation to plan and utilise hi-tech devices or machines to empower their business assets and set strategies for the digital world. Find out how resourceful this web-based software with mobile app integration, can be for your sector by visiting our Trinetra Tsense website. Or you can contact us and discuss your plans with our T-Sense executives.

The impact of digital transformation is being felt in all quarters of industry and business globally. Evolving customer needs has seen growing complexity in machine design and manufacturing. So, OEM machine builders have to step up from their traditional machine design practices to deliver ‘smart’ machines that yield higher throughput and are safer, but reduce cost of operation.

If machine builders don’t integrate an Industrial IoT solution into their system first, they will miss out on an opportunity to grow and also to provide additional services to their customers or clients. It is now time an industrial Internet of Things solution is incorporated into the machines that are being built by them, again to provide those additional services for the customers.

OEMs should integrate industrial IoT solutions with their machines, in the manufacturing process and offer to sell the machine itself as a service based on its performance. The GPS Tracking system used with sensing devices built in to transfer data on various parameters is useful for monitoring and assessing performance in real-time. A web-based IoT platform can integrate a mobile app for users.

The IoT solution is to leverage and differentiate the OEM from other competitors. Obviously empowering OEMs with IoT offers great benefits in this digital age.

• Performance: By monitoring machine performance the OEM can show value addition to the customers’ production process. New business models tend to sell machine as a service, with a performance based price structure. Customers benefit by reducing process lead time, waste and downtimes. In machine as a service customer does not pay for defects or downtime or replacement.
• Maintenance: OEMs can collect useful data if the machine is connected online. the data accessible will show how the machine is working, if any anomaly is detected. So stakeholders can take be warned and made to take corrective actions. Analysing the data helps recognise machine failure in advance and help predictive maintenance. The data analysed can also help OEM to improve on maintenance, performance and make design alterations if required.
• Big Data: if data is collected from all over the world a huge set of data can be obtained. This Big Data can be used to understand how machine design can be improved. A predictive maintenance strategy can be developed in a global scale with Big Data analysis by the manufacturer. As for the customer, he gets useful insights out of Big Data analysis, to his advantage that the OEM can share. Statistics and KPIs will help customers to benchmark their machine’s (or machinery’s) performance against the competition in the market.

The Trinetra T-Sense’s software platform empowers an OEM or any other company to plan and maximise utilisation of your machines and business assets with an IoT strategy for the digital era. How resourceful this web-based platform can be for your business or products can be discussed with our T-Sense team. With mobile app integration, the system enables to cut costs and improve efficiency. For more information, contact us or visit our Trinetra Tsense website.

By 2025, the smart waste market is expected to grow to 223.6 million with a CAGR of 17.3 percent. Waste management is one more field where implementation of IoT can help. Nowadays, municipal governments are using this technology to keep cities clean. Smart Waste Management System aims to address environmental issues associated with inefficient waste management and also reduce operational costs related with waste management.

The main challenge of waste management

Recycling and other methods of handling waste such as commercial composting and waste-to-energy systems have been growing in popularity since from 1970s, hence the maximum quality of waste is still ends up in a landfill. Municipal governments often don’t deal with waste management as effectively as they could.

In most cities, a waste management service provider follows a set of predetermined route to empty the street trash bins. Bins will be emptied whether they are full or not, which leads to wasting fuel and other resources.

These inefficiency presents a major challenge for waste management. Some bins may be empty most of the time, while others are packed to overflowing.

IoT Applications in Waste Management

The most common IoT application in waste management operations is automated route optimization of garbage pickup trucks. Sensor-enabled and internet-connected garbage bins can collect information on fill level, location, temperature and etc.

With a user interface finding the locations and fill levels of all bins, waste collectors can get an automated route planned for them that has prioritized areas in urgent need of clean-up and avoided disposal units that still have room. This effective solution reduces waste collection frequency dramatically, enabling you to save on fuels, labor and fleet maintenance costs. It has been seen that the solution has reduced the operational cost of municipalities up to 80%.

Future of IoT Applications in Waste Management

Ultimate goal of IoT applications in waste management is producing leaner operations as well as delivering higher quality services to the country. A growing collection of interlinked autonomous systems are managing everyday urban operations and improving both citizen experiences and our carbon footprint.

Manufacturers who think beyond the use of sensors can consider implementing IoT with which they can build smarter applications as per the business need.

Contact us for a demo, or visit Trinetra Tsense website,  just leave us an enquiry and we’ll get in touch

The emerging technologies of IoT (Internet of Things) may create some confusion as the concepts of applications have similar approach and often are intricately connected. This is especially so when we talk about the concepts of Digital Twins & Digital Threads, which work in the same type of environments.

Actually the two concepts have been around for a long time but new technologies of IoT have made them now accessible, useful and powerful. In IoT the two concepts are inextricably connected to current industrial applications and environments. Before we differential the two, the way to describe the two concepts is as – a digital thread unites the diverse but interrelated data to uncover useful insights; whereas data unification is a critical pre-requisite to build a digital twin models.

DIGITAL THREAD CONCEPT. The digital thread concept creates a way to universally access data as a single source. When it is implemented across the enterprise it aims to bring consistency and promote collaboration by leveraging a robust cache of data to align different functions. The data cache has real-time data synchronisation to make available all upstream and downstream information.

Large industrial enterprises with a global presence can use digital thread. It seeks to bring advanced product innovation and differentiation, besides optimising processes and efficiencies. It aims to empower employees for higher productivity and quality. For equipping the employees with right information at the right time across the value chain, it leverages a variety of technologies for this. In an enterprise, data usually comes from CRM, ERP, BOM, MES, CAD and others. Digital Threads can potentially go beyond manufacturing software to include other sources of related software & data. It is flexible to adapt to the identified use case and used for some business outcomes needed by enterprises.

DIGITAL TWIN CONCEPT. The digital twin is developed as a digital model which is a virtual representation of its physical counterpart. But they can also be developed for other purposes like operations, processes or even employee tasks. These models are getting more usage in industrial sectors. It is to understand the physical model to predict behaviour or reactions and draw better insights. Digital Twins leverage multiple data caches. It includes anything from sensor data to business system data. One digital twin model can be leverage by many other applications and for different roles. New and additional value can be discovered. For instance, the same model involved in quality assurance can assist a technician at a service call.

Into the Future. The two technological concepts are more used by the industrial enterprise to drive business outcomes and unlock opportunities. Emerging tech like VR and AR are being integrated into these concepts.to realise value, streamline processes and empower employees, enabling cost and time savings.

Trinetra’s T-Sense software platform empowers you to plan and maximise utilisation of your business assets and strategy. Find out how versatile this web-based management system is. With mobile app integration, it enables to cut costs and improve efficiency. Get all information from the website. You can also request for a demo here.

 

Industrial Iot-based solutions are becoming so prevalent, that soon, we won’t able to imagine a business sectors operating without them. Over the years IoT is one of the driving forces behind the Industry 4.0 movement, let’s talk about the near future of industrial IOT. A global IoT platform supports heterogeneous sets of IoT gateways, devices, and sensors simultaneously. The platform does the management of sensors and devices agnostically and offers the potential scalability to manage millions of devices simultaneously.

Internet of Things holds plenty of opportunities to do something impactful and so  business enterprises are implementing this technology to manage and control enterprises without a physical presence, By implementing this IoT, the business user can tackle the challenge that comes before and access reports remotely from anywhere, anytime.

IIoT, is built on the same notion implemented in an industrial manufacturing environment, the hidden potential of IIoT goes way beyond collecting data and making smart predictions. Advanced IIoT solutions go way beyond and connects various industries which includes factories, machines and sensors to the internet and automatically collects data.

In other words, selected smart IIoT solutions collect data, send alerts and provide actionable insights based on the data, that help humans make optimized decisions, less mistakes, and maintain quality while supporting much bigger production scales.

Industrial IoT platform:

Industrial IoT Platform device, provides a complete digital representation, acts as a gateway for data exchange between the product and the user, also integrates data from business systems, external sources, and other related products. The IoT ecosystem manages the specific platform or entity closer with greater data processing and computing power. Trinetra Tsense, helps to make your business smart by fostering innovative solutions using IoT and data, connecting all your critical devices, machines, systems and people.

Contact us for a demo, or visit Trinetra Tsense website. Or just leave us an enquiry and we’ll get in touch

 

IoT is an emerging technology that creates a massive network of things communicating with one another. It encompasses a broad set of technologies, hardware and software stacks. Data, humans, devices and communication are the crucial elements that forms an IoT ecosystem. For a developing country with quite limited technology penetration an efficient architecture of IoT needs to be implemented based on the present advanced technology.

Smart city is an important concept for the development of any nation. It is for every government to offer different services to its citizens and IoT helps significantly to achieve this purpose. With IoT solutions for smart city development it is possible to communicate transparently and seamlessly with large number of homogeneous and heterogeneous systems, while having selected access to data for designing numerous digital services.

Below are the key advantages of smart city development

• Improves city infrastructure and transforms existing infrastructure more scalable
• Helps in creating more efficient and cost effective city services
• Enhanced public transportation, reduced traffic congestion and improves quality of life
• Safer for people engaged in a community
• Enables sustainable economic growth

Overall this IoT platform for smart city development helps to function as a key mechanism that integrates smart technologies and enables the rapid delivery of new applications that helps to create a connected Smart City ecosystem.

To know more in detail about smart city development and the role of Fleet management system in developing smart cities stay tuned to our recent updates, for details visit www.trinetrawireless.com  or leave us an enquiry.

Contact us today to empower your Vehicle Tracking and Fleet Management requirements with TRINETRA. Want to know more about TRINETRA? You can request for a product demo here.

It’s always been observed that, inefficient fleet management system for businesses results in reduced business returns. Without advanced analytics, real-time data or integrated information, businesses may experience unexpected vehicle interruptions and more. In such scenarios IoT takes a major part and leads to efficient and optimized operations, also help businesses in providing innovative ways to gain a competitive advantage in the industry.

IoT – Internet of Things

The trending term in recent days is not just a single technology, the concept is so far-reaching. Significant aim of IoT is to keep everything connected. Fleet management improvisation with IoT is a perfect illustration of how IoT can create efficiencies and reduce overhead costs. IoT with fleet management helps in vehicle scheduling, driver vehicle tracking, and Route optimization and much more creating a noticeable impact in fleet management.

Below are the ways and Real-time examples showcasing how IoT has revolutionized Fleet management

• Effective Operations
  IoT offers many new features in fleet management like camera management, smart vehicle tracking, driver mobile apps etc. making communication easier and prompt. This advantages streamlines the fleet management operations and focuses in providing improved business results.
• Automated Processes
  IoT in fleet management provide businesses the ability to automate various processes. As devices are interconnected organizations can setup an automatic flow of their daily processes and trip planning. IoT in place helps to move daily operations into the cloud and makes it easier for remote tracking of fleets at any time from any place.
• Better Insights
  IoT has the ability to derive collective data from multiple sensors. This enables fleet management companies to get useful insights into driver behaviour, adherence traffic guidelines, vehicle speeding and idling etc. These simply don’t just help in tracking vehicles but also takes an important role in improving performance and diagnostics of discrepancies.

IoT is no longer a future but a reality, if you want to discuss how you can leverage the IoT revolution in fleet management, feel free to get in touch with us and know your predicted growth in fleet management industry.

Contact us today to empower your Vehicle Tracking and Fleet Management requirements with TRINETRA. Want to know more about TRINETRA? You can request for a product demo here.

To improve modernized technologies, that brings greater efficiencies and improvements to businesses world-wide. IoT and Telematics plays an important role in fleet management and smart city management. IoT-The internet of things, created a tremendous impact in fleet management with machine-to-machine (M2M) solutions to make the smart city come alive. With IoT for fleet management we can not only keep in track of vehicles but also monitor high value assets in remote locations.

Here we have shared the advantages of IoT in fleet management and smart city:

Fleet Management IoT Solutions

Vehicle usage have increased to a great extent and the need for fleet management are expanding exponentially. Businesses that manage fleets have started using the intelligence of IoT to collect real-time information such as vehicle location, fuel usage, speed, mileage and insights into driver behaviour. IoT a broad term helps to obtain extensive information and intelligence from systems including vehicle location and performance, driver behaviour and a wide range of other data points.

Key advantages

• Gain Better Visibility
• Reduce operational expenses
• Preventive Maintenance
• Greener Operations
• Enhanced Safety and Security

IoT for Smart Cities

Smart city is one with a coordinated, technology-assisted infrastructure greatly supports in minimizing carbon footprint. The explosive growth of Smart City with Internet of Things applications provides permanent solutions for many scientific and engineering challenges that call for ingenious research efforts. Smart City based on IoT helps in deriving New protocols, architectures, and services

Key advantages:

• Optimize energy use
• Creating safer cities
• Efficient operation
• Improved field service
• Comprehensive Security

As discussed above its never been a challenge, but these are the futuristic solutions to be adapted for the intellectual development of both fleet and smart city. Leverage the advantages of technology, Want to know more about TRINETRA? You can request for a product demo here.

Communication between machines enables innovative advances in technology, starting from earlier stages M2M technology had a dramatic impact on work lives. Connectivity has entered a whole new dimension in recent years with mobile Internet becoming an integral part of modern business processes, also the demand for and real-time information tracking systems

This real-time Machine-to-Machine(M2M) solutions supports in fulfilling the demand of Integrators, OEM’s etc., relying on the data required for information transformation and realizing the importance for machine-to-machine (M2M) solutions.

Machine-to-Machine(M2M) in IoT support businesses in a great way and the key advantages are,

• Drive sales through increased customer engagement
• Improve productivity using automation and mobile access
• Provide an enhanced user experience
• Control costs through improved supply chain and logistics efficiencies

M2M support businesses in a great way and the key advantages are,

M2M has great advantage for business, as technology evolves IoT started replacing the areas where M2M had great impact and IoT replaced the native methodology of machines and started working over internet.

M2M in IoT supports businesses in following ways

• Reliability, performance, quality of experience and long-time availability are extremely high and wireless connectivity becomes a critical success factor for IoT
• IoT in your working processes allows you to know your customers more and anticipate to their needs
• Companies specializing in Big Data, analytics, and security will also see opportunities for growth in a world more open to the Internet of Things.

Technology evolves every day and to be up to date on the evolution is significant for every business, Trinetra Wireless your tech partner will help you know the trending tech updation. Leverage the advantages of technology, Want to know more about TRINETRA? You can request for a product demo here.

Telematics is transforming business operations and customer engagement. Companies that manage fleets started using telematics to collect real-time information such as vehicle behaviour, fuel usage, speed, mileage, and driver insights to increase productivity, reduce expenses, and improve safety.

Telematics industry continue to be more connected, this interconnectivity has given rise to the Internet of Things, or IoT. As IoT technology continues to expand into new areas like healthcare and retail, fleet management is the latest industry to be transformed, connecting vehicles and drivers like never before.

Consider the following ways where connected technology has brought greater efficiencies and improvement to how businesses manage their fleets:

Visibility

Previously, it was not possible for fleet management providers to find out if drivers were making unnecessary stops on their routes, or whether they were driving recklessly, or wasting fuel and so on. But now IoT in fleet management helps to closely monitor the activities of drivers from a remote location, and get an insight into their behaviour and also into the performance of their vehicles.

Deployment

With IoT, fleet managers are able to know the weather, traffic, and road conditions at a particular location and time. This helps them to allocate and deploy their resources drivers and vehicles much more efficiently.

Preventive Maintenance

Businesses can set alerts for maintenance, temperature deviations, tyre wear and tear, so on. You can conduct preventive maintenance to keep your fleet in top condition, and keep them running safely, without incurring delays and sudden expenses because of breakdowns.

Improved accountability

Fleets churn out tremendous amount of information with regard to fuel consumption, tracking speed, miles travelled, utilization of vehicles and so on. Manually monitoring of such information will lead to rise of errors, having IoT in fleet management provide real time access to data and help to analyse it and act on it quickly.

IoT is the way forward not just for fleet management, but for almost all business. Businesses who embrace the technology now, will have an edge over their competition for sure. Are you looking for IoT solution integrators for your business? Trinetra will be your best solution partner. To know more about, contact us we will get back to you.