Real-Time Person Detection & Re-ID
Detect and re-identify people from live camera streams, on screen in real time.
- Role
- ML / backend engineer
- Year
- 2021
- Timeline
- Research + delivery
A site needed to detect people from RTSP camera feeds, show results live, and recognise whether a person had been seen before on a return visit.
Video is unforgiving: the pipeline had to keep up with live streams, distinguish known from unknown people, and stay reliable enough to expose as a service.
Separated detection from re-identification behind an API.
Instead of One tightly coupled script per camera.
Why: Splitting the stages behind a REST API made the system observable, testable and reusable across feeds.
- RTSP stream ingestion & detection
- Known/unknown labelling with re-identification
- Live results UI
- End-to-end pipeline behind a REST API
Hemant Manglani
Ahmedabad, India
Looking for someone who ships? Let’s talk.
I’m actively looking for a backend or AI engineering role. If your team needs an engineer who can own systems end to end, I’d love to hear about it.
Actively looking · Ahmedabad · on-site, hybrid or remote