Case Study
AI-powered refinery safety & anomaly detection
Real-time computer vision for industrial safety monitoring.
Scenario
CCTV cameras installed across an oil refinery continuously monitor operational areas. Computer vision models analyze live video streams and detect predefined safety violations, abnormal events and potential hazards.
Detection Capabilities
Unauthorized access and restricted-zone intrusion
Personnel detection and PPE compliance
Fire, smoke and visible hazard detection
Equipment and infrastructure anomalies
Object presence, absence and discrepancy detection
Unusual movement and operational activity
Perimeter security and intrusion monitoring
Solution Architecture
CCTV Cameras / Industrial Sensors
↓
Edge Computing Device
Video stream processing · Hardware acceleration↓
Computer Vision & AI Models
Object detection · Tracking · Anomaly detection↓
Event & Alert Engine
Rules · Severity · Notifications · Audit logs↓