iComprehend
Real-time computer-vision system that detects people and classifies their role from live video, served to application backends over an API.
Video feeds carry a lot of information that applications cannot use directly. iComprehend turns raw video into structured signals — who is in frame and what role they play — that downstream systems can act on.
A YOLOv8 model was designed and trained for person detection and role classification, then wrapped in high-performance TensorFlow inference pipelines. The models are served to Django backends over REST APIs, with accuracy and inference performance optimized for production. Rollout into live environments was done alongside cross-functional teams.
// AI & process
How AI accelerated this
A YOLOv8 model performs real-time person detection and role classification; TensorFlow inference pipelines are tuned for throughput and latency, and the models are consumed by Django services through REST APIs.