The boat tracking device with IoT technology for data transmission and a machine learning platform was developed by Associate Professor Dr. Krisanadej Jaroensutasinee and his team. This device uses IoT connectivity to send and receive data, allowing tour boat companies to access information about boat operators or other vessel data.

The IoT-enabled tracking device can broadcast a unique device ID, and the team also developed platforms for both computers and mobile phones, enabling companies to manage boat queues efficiently, especially during peak customer periods, in a professional manner.

The equipment is part of a monitoring system designed to track boat movements and conditions in Phuket, Krabi, and Satun Provinces. During the initial phase, tests were conducted along the coast of Racha Island to evaluate the range and performance of the sensors. The results demonstrated that the island-based data hubs could efficiently receive and transmit all collected data in real time, ensuring reliable monitoring and management of maritime activities. The device has been registered as an intellectual property under a petty patent on 30 November 2021.

This initiative reflects working directly through research and engagement with industries on technologies or practices that enable the marine industry to minimise or prevent damage to aquatic ecosystems.

For more details, visit: https://www.youtube.com/watch?v=EPZn4ZEL-Eo