Term 252
An AI-Enabled Autonomous Robot for Safety Compliance and Hazard Detection in Industrial Workshops
Project Type: Self-Initiated
Project Description
Designed for industrial safety, this autonomous system patrols indoor workshops to detect PPE violations and carbon monoxide hazards in real time. It operates entirely on the edge with zero cloud dependency, utilizing onboard sensors to deliver critical safety alerts to a live wireless dashboard with under two seconds of latency.
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Project Team
Jehad Mohammed Alzowaid
COE
Abdullah Zuhair Alqudaihi
ICS
Ali Hamza Arkobi
ISE
Hazem Sami Alqerafi
ICS
Ali Saeed Alramadan
METeam Coach
DR. Majed Al Zayer
Assistant ProfessorInfo. & Computer Science Dept.
SDAIA-KFUPM Joint Research Center for Artificial Intelligence