Manufacturing industries, like steel, cement, and mining, use large mobile machines with multiple access points. Operators rely on CCTV and manual safety measures, but limited visibility and human oversight make boarding, deboarding, or working nearby highly hazardous. Static machines, like mud guns in blast furnaces, also pose risks if safety measures are neglected.
We have developed an in-house vision-based solution that utilizes a deep learning model to accurately detect human presence in specified areas. The system generates alerts, captures frames for analysis, and its output can be interlocked to stop machines if needed.
Advanced AI Detection: Uses deep learning models to accurately identify human
Real-Time Alerts: Sends instant notifications to operators for quick response.
Wide-Angle Coverage: Captures a broad field of view to monitor HUMAN Presence.
Adaptive Sensitivity: Adjusts detection thresholds based on environmental conditions.
Records Detection: Capturing Screenshots for detection analysis.