MIT NAGI
Select Language

Projects

Image Recognition System

Image Recognition System

An advanced computer vision system for real-time object detection, facial recognition, and anomaly detection in security surveillance environments.

The system runs on edge devices for low-latency processing and uses deep learning models trained on millions of annotated images for industry-leading accuracy.

Key Features

Results

Deployed in 200+ facilities, the system reduced false alarm rates by 85% and enabled 24/7 automated monitoring without human fatigue.

Tags:
  • Computer Vision
  • TensorFlow
  • Edge AI