Duration: Jan 2018 - Ongoing
Awards: 0
Publications: 5
Funding: MYR 148,500

Applications on the Internet of Things (IoT)

Towards the end of my PhD studies in 2017, I had acquired a collection of software-related skills and experience, combined with my prior knowledge of Robotics, Mechatronics, embedded systems, Mechanical engineering, and Manufacturing Technology, I was more than ready for IoT.




Towards the end of my PhD studies in 2017, I had acquired a collection of skills in software-related technologies; experience working with Linux, an assortment of programming languages, web-related markup & scripting languages, and networking and IP protocols Combined with my prior knowledge of Robotics, Mechatronics, embedded systems, Mechanical engineering and Manufacturing Technology, I was more than ready for IoT.


The IoT framework is made of three main components. The data source, or the thing, could be a network sensor or an electro-mechanical system, which captures and broadcasts this data to servers in the cloud, which is the second component. In the cloud, raw data is processed through a number of algorithms, known as Data Analytics (DA), which process the raw data and produce insights and valuable information, and passes along to the third component; the IoT client.



In the IoT clients, Data is presented in a visualized and clear way, allowing users to learn from the processed data, and then use this information in one of the following ways; Streamline their operations (reduces waste and costs, maximize utilization, and increase profitability), integrate Data with other technologies (IoT robotics, Blockchain, others), or used the data to generate a new income stream.


Since 2017, I worked on the following IoT Projects:

  • 2020 - 2021:? The IoT Vehicle Monitoring System (Current)
  • 2018 -?2019:??Portable, Interactive, Blockchain-ready IoT agriculture Sensors
  • 2018 -?2019:??The IoT Robotic Camera Dolly
  • 2017 -?2018:??The Centralized Water Management System through IoT?
  • 2017 -?2018:??Smaller IoT Projects?


The IoT Vehicle Monitoring System (2020 - 2021)

In this project, we developed an IoT framework for Fleet monitoring and resource management, aimed at companies operating a fleet of buses, delivery trucks/lorries. In this framework, vehicles are equipped with IoT devices to gather raw data, which is then processed and evaluated at our servers through the patented (filed) IVMS DA set of algorithms. The processed information is then used by the service operator in three different ways; Streamlining operations,?improving user experience, and generating a side income.

This video demonstrates the IVMS framework and its features.? In February 2020, we participated in the Malaysian Technology Expo (MTE2020) with the IVMS framework, and we won the?GOLD medal & award.



Throughout 2020 (and in the midst of the Lockdown), we continued to work on the IVMS framework. Specifically, we focus on the connectivity problems moving vehicles face while on the move. As vehicles move, they go in-and-out of connection, this causes interruption to the flow of data, adversely affecting the reliability of the fleet management system and its information. To resolve this problem, we added the network provider Auto-Select (AS) algorithm. Through the AS algorithm, the moving vehicle not only remains connected, but it remains connected to the best possible network.




As shown in this video, the updated framework, now named: the AS-IVMS framework was an improvement and an upgrade from the original framework developed earlier in the year. With this updated framework, we participated in the Seol International Innovation Exhibition 2020 (SIIF2020) in December 2020, and once again, we won the GOLD medal and award, our exhibition is still shown on the SIIF2020 virtual exhibition (navigate down till you see it).

Portable, Interactive, Blockchain-ready IoT agriculture Sensors (2018 - 2019)

In this project, we focused on Precision Agriculture. Specifically, we focused on developing portable, wireless, and interactive IoT agriculture sensors for large-scale agriculture applications. Most current applications of IoT sensors are wired, cumbersome, expensive, and very limited in features.

In this project, we developed a working unit that is completely self-reliant, wireless, portable, and interactive. The units also cost a fraction of what is available in the market and is produced from off-the-shelve components. Compared with commercial units, our products proved superior (when the cost is included)