BlockFace at Bagh-e Ketab Tehran
fully on-premise machine vision
A machine-vision system for people counting, face recognition and attendance analytics with a Persian dashboard — on two cameras, with no GPU and no internet.
Illustration · Deployment scene
- Client
- Bagh-e Ketab Tehran
- Field
- Machine vision · AI
- Deployment
- Two cameras, on-site server
- Infrastructure
- No GPU and no internet
- Product
- BlockFace
01The need
The need, in one sentence
«Knowing how many people come and who comes back — without data ever leaving the building.»
Count visitors and analyse attendance at a large cultural complex — without data leaving the site and without relying on internet or GPUs.
02Solution · before & after
Vision models for people counting, face recognition and matching, and repeat-visitor detection — with an attendance dashboard and a Persian web panel.
- — Manual, estimated counts at the entrances
- — No data on repeat visitors
- — Late, scattered reporting
Paper tally at the entrance
In today 1,284 · repeat 212 · peak: 5 pm · sample
DRAG · 50%
03Deployment
Deployed on two cameras at Bagh-e Ketab Tehran — fully on-premise, with no GPU or internet required.
04Team role & next projects
Product design and build, vision models, web dashboard and on-site server deployment
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