Arman Afzar

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.

Project file
Client
Bagh-e Ketab Tehran
Type
Recent platform · AI
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 study

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