Agentic AI + Edge AI + Computer Vision
Production Edge Agentic AI for Mining Safety
Designed real-time on-device agentic AI systems for safety-critical video analytics on NVIDIA Jetson AGX.
45%
reduction in manual monitoring
30 FPS
real-time video analytics
Improved safety monitoring reliability
The problem
Mining and industrial environments require continuous safety monitoring, but manual monitoring is expensive, slow, and error-prone.
What I built
Built multimodal edge AI pipelines combining perception, reasoning, and action loops for real-time video analytics under strict latency, compute, power, and reliability constraints.
Technical approach
- NVIDIA Jetson AGX deployment
- Computer vision pipelines for hazard detection and workflow automation
- Autonomous perception-decision-action loop
- Edge-aware optimization for latency, memory, and throughput
- Client-facing delivery with stakeholder demos and implementation roadmaps
Visuals
System architecture diagram
Pipeline flow: video stream → perception → reasoning → action
Before/after metrics cards