AI Surveillance Pipeline

The Distributed AI Surveillance Pipeline is an edge-to-cloud computer vision architecture designed to handle simultaneous multi-camera video ingestion for real-time alerting and triage.

Infrastructure & Edge Compute

• Containerization: Architected a highly scalable pipeline using Docker and Kubernetes (K8s) to orchestrate the video ingestion nodes.
• GPU Optimization: Containerized ML inference workers leveraging the NVIDIA Container Toolkit.
• Performance: Fine-tuned pod resource requests and limits to sustain processing at 30+ FPS across multiple high-resolution video streams.

Administration Console

An intuitive command center was required to make sense of the real-time AI inferences generated at the edge.

• Constructed an administrative incident monitoring console utilizing a modern React frontend.
• Backed by a robust Node.js & FastAPI gateway responsible for real-time alert dispatching and triage management.