One-page planning tool for a retail video-analytics build: the camera-by-job placement table (entrance counter, heatmap, point-of-sale, identification) with placement notes and DORI pixel-density targets; the pixel-density ladder (Detect ~25 to Identify ~250 px/m) and the counting-camera-is-not-the-identifying-camera rule; the accuracy-as-a-range reminder with the in/out balance check; the privacy gate as a tick-box checklist (anonymous counting vs watchlist face-match, GDPR Art. 9, BIPA); and a
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The handbook · 7 volumes
Fora Soft Video Engineering Handbook
This retail analytics planning worksheet covers camera-by-job placement, pixel-density targets from detect to identify, and the rule that counting cameras are not identifying cameras. We wrote seven volumes on the video stack; Volume 6 covers detection, tracking and counting in depth, Volume 7 adds edge serving and biometrics rules, and Volume 1 explains camera encoding. Written by Nikolay Sapunov, CEO at Fora Soft.
Planning in-store video analytics and need the right camera in the right place?
Share your store layouts and goals, and we will plan camera placement and analytics and estimate accuracy ranges. 250+ video products shipped since 2005.
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