Production CV
Production Video Analytics for Mines
Large-scale mine safety analytics across 7 deployed sites.
Production CCTV analytics across mining, energy, banking, and retail, including mine safety detection, operations monitoring, edge inference, and camera-fleet workflows.
Visual model
Workflow map
Problem
Coal mines needed real-time visibility into physical activity, safety compliance, restricted-area access, fire risk, traffic flow, and response workflows across existing camera infrastructure.
What I built
Led delivery of multi-site analytics including PPE compliance, fire and smoke detection, human and vehicle intrusion, vehicle counting and classification, tailgating, crowd detection, over-manning, idle-time alerts, ATM analytics, HPCL wagon tracking, and national exam workflows scaling to more than 10,000 cameras per exam.
What was hard
The difficult work sat between model accuracy and deployment reality: old IP and analog cameras, hybrid local/cloud dashboards, event routing by priority, throughput, edge constraints, camera quality, alert usability, and reliable behavior across different sites.
Result
The mining deployment raised more than 1.4 million AI events across 7 mines, supported team-based response workflows, and reported safety and compliance improvement into the 90-95% range.
What I would improve next
Continue pushing toward better monitoring, calibration workflows, root-cause dashboards, and deployment playbooks that reduce field iteration time.