Object Detection in Surveillance — One-Page Reference

Detection vs classification, the precision/recall/mAP accuracy ranges (never 100%), the motion-vs-AI false-alarm math, where detection runs (edge NPU) and how it surfaces into the VMS via ONVIF Profile M, and the privacy line (a class is not an identity) — on one page.

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Book cover: Video Encoding, Volume 1 of the Fora Soft Video Engineering HandbookBook cover: AI for Video, Volume 6 of the Fora Soft Video Engineering HandbookBook cover: AI for Video, Volume 7 of the Fora Soft Video Engineering Handbook

The handbook · 7 volumes

Fora Soft Video Engineering Handbook

This object detection in surveillance reference covers detection versus classification, realistic precision and recall, false-alarm math, edge NPUs and ONVIF Profile M. We wrote seven volumes covering the video stack; start with Volume 6 on computer vision, detection, tracking and segmentation, then Volume 7 on real-time pipelines and biometrics rules, with Volume 1 for encoding. Written by Nikolay Sapunov, CEO at Fora Soft.

Browse the handbook on Amazon →7 volumes · 9,000+ pages · Kindle & paperback

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