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

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Jehad Mohammed Alzowaid
COE
Abdullah Zuhair Alqudaihi
Abdullah Zuhair Alqudaihi
ICS
Ali Hamza Arkobi
Ali Hamza Arkobi
ISE
Hazem Sami Alqerafi
Hazem Sami Alqerafi
ICS
Ali Saeed Alramadan
Ali Saeed Alramadan
ME

Team Coach

DR. Majed Al Zayer
DR. Majed Al Zayer
Assistant Professor

Info. & Computer Science Dept.

SDAIA-KFUPM Joint Research Center for Artificial Intelligence