Kota Kinabalu: The Kota Kinabalu Industrial Training Institute (ILP), now known as Adtec JTM Kota Kinabalu, made history by achieving international recognition at the International Intellectual Property, Invention, Innovation, and Technology Exposition (Ipitex), held from February 2-6 at Bitec Bangna, Bangkok, Thailand.
The ILPKK innovation team proudly brought home two prestigious awards namely a special award from the Indian Innovators Association (IIA) and a gold medal for their groundbreaking project, the Livestock Tracking & Safety System.
AdvertisementDeveloped by a team of three instructors—Jaikol Bin Udar, Jupili Bin Waimin, and Roymey @ Ismail Bin Yusof, the project competed against 690 innovation entries from 22 countries.
ILP KK Director Sudirman Bin Hammade congratulated the team on their outstanding success.
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“This success is proof that ILP Kota Kinabalu instructors are internationally competitive.
AdvertisementHopefully, this achievement will inspire both students and educators to continue developing innovations that benefit the community,” he said.
With their first achievement, ILP KK would continue to further its contributions to innovation and technology, striving to develop projects that drive industrial advancement and positively impact society.
Advertisement (adsbygoogle = window.adsbygoogle || []).push({});Jupili, one of the team members, expressed his pride in their achievement, saying, “This is a moment of great pride for Sabah. It is ILP Kota Kinabalu’s first-ever participation in an international innovation competition outside Malaysia, and we won two awards.”
He shared that the idea for the project began over the years with brainstorming sessions, which gradually evolved into serious discussions.
In 2024, they formally assembled a team of key personnel to further enhance the project.
He explained that their system allows livestock monitoring remotely via a mobile phone, eliminating the need for farmers to be physically present.
“It is cost-effective and highly beneficial, especially for those managing hundreds of livestock.
By attaching a GPS device to each animal, for example, a cow the system can monitor its movement, weight, and other vital data in real time, providing an accurate picture of the livestock’s condition even from a distance.”
He said the system can also detect unusual behaviour in animals.
“For instance, if an animal moves around normally, it indicates good health. However, if it remains still or shows minimal movement, the device will flag it as unusual.
The system then pinpoints the specific animal requiring attention, allowing farm workers to check on its condition promptly.
Each animal is assigned a unique identification within the device, making tracking and management effortless,” he explained.
“What made our project different from the existing solutions is that our system is combined with real-time tracking, AI driven anomaly detection and health monitoring in a single platform.
Unlike traditional RFID-based solutions (radio frequency identification device), we are able to provide live alerts and predictive analytics, improving livestock management efficiency.”
