Semarang, C Java (ANTARA) – A Diponegoro University student has developed an artificial intelligence system to monitor the physical and psychological risks faced by workers in high-risk industries.
Tiaman Gea, a mechanical design engineering student at the university’s vocational school, developed the system to address shortcomings in conventional workplace safety monitoring.
His research, which won third place in the HSSE Innovation Challenge, targets workers in high-risk energy sectors, including oil and gas and mining.
“Work fatigue and psychological stress can reduce workers’ situational awareness, ultimately increasing the risk of accidents,” Tiaman said in Semarang, the capital of Central Java Province, on Tuesday.
Called WellGuard, the system combines biometric wearable devices and artificial intelligence to comprehensively monitor workers’ physical conditions and psychological risks.
“Energy-sector safety systems must shift toward a predictive approach by combining real-time physiological data with psychological sentiment analysis,” he said.
The system is designed to help break the cycle of physical and mental deterioration that can trigger workplace accidents in high-risk areas, Tiaman said.
Sri Utami Handayani, head of the Mechanical Design Engineering program at Diponegoro University’s vocational school, said Tiaman’s achievement highlights vocational education’s role in developing applied research innovations.
WellGuard combines several fields, including mechanical engineering, ergonomics, occupational safety and health, and modern artificial intelligence, she said.
Sri said she hoped the innovation could be further developed into a practical technology solution to improve worker safety and health, particularly in high-risk energy industries.
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Translator: Immanuel CS, Rahmad Nasution
Editor: Azis Kurmala
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