BlockFace · Bagh-e KetabBagh-e Ketab Tehran
BlockFace · Bagh-e Ketab Tehran
Short answer
A machine-vision system for people counting, face recognition and attendance analytics with a Persian dashboard — running on two cameras at Bagh-e Ketab Tehran, fully on-premise with no GPU or internet.
- Client
- Bagh-e Ketab Tehran
- Type
- Recent platform · AI
- Department
- Robotics & Machine Vision
- Industry
- Culture & Heritage
- Team’s part
- Product design and build, vision models, web dashboard and on-site server deployment
The problem, and what we built
01The story
A machine-vision system for people counting, face recognition and attendance analytics with a Persian dashboard — running on two cameras at Bagh-e Ketab Tehran, fully on-premise with no GPU or internet.
A machine-vision system for people counting, face recognition and attendance analytics with a Persian dashboard — running on two cameras at Bagh-e Ketab Tehran, fully on-premise with no GPU or internet.
Arman Afzar’s part in this project: Product design and build, vision models, web dashboard and on-site server deployment.
From robotics and machine-vision competitions to vision systems in the real world: people counting and attendance analytics at Bagh-e Ketab Tehran, liveness and document reading in Veriqo, and a VTOL aircraft for aerial surveying.
Full case study
BlockFace at Bagh-e Ketab Tehran: fully on-premise machine vision
Count visitors and analyse attendance at a large cultural complex — without data leaving the site and without relying on internet or GPUs.
Full case studyWith which services
02Services used
Services of the department that built this project.
Same industry and facet
03Related projects
Projects in the same industry or department — plus the previous and next in the ledger.
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