AI Gender Detection from CCTV Footage
Overhead CCTV made facial analytics impossible, so Micromax built a camera-agnostic AI model that estimates demographics from non-facial cues, validated live in shopping centres.
The Challenge
Retail centres required demographic insights, but overhead CCTV made facial-based analytics impossible due to privacy concerns, camera angles, lighting variability and crowding. Existing AI systems could not operate reliably under these constraints.
Our Approach
We built a camera-agnostic AI model that determines gender using non-facial appearance cues, supported by custom preprocessing, lighting normalisation, occlusion handling and frame-averaging techniques. The system runs on standard CCTV without specialised hardware.
The Outcome
The model achieved high accuracy across diverse lighting conditions and camera types, maintained low false positives in crowded scenes, and was successfully validated in live shopping-centre environments.