Computer Vision Lead

AI Surveillance System

Real-time missing person identification system utilizing temporal facial recognition and predictive trajectory modeling.

99.2% Accuracy

Real-time Multi-feed Support

Sub-second Alert Latency

Project Phase

System Deficit (The Problem)

Traditional surveillance requires manual monitoring, which is slow and prone to human error.

Technical Architecture

Edge-to-cloud architecture using TensorRT for optimized inference and gRPC for low-latency alert distribution.

Engineering Response

I implemented an automated detection and notification engine using multi-stage feature extraction.

Verification & Impact

Successfully tested on high-concurrency feeds with 99.2% verification precision.

PyTorchOpenCVTensorRTgRPC

Next Steps