Edge vs Cloud Video Analytics — Decision Guide

One-page decision reference: on-camera, edge-server, and cloud analytics compared across latency, bandwidth, cost shape, privacy, and capability, with the 40-camera bandwidth and cloud-GPU worked example and the order to resolve the decision in.

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

The handbook · 7 volumes

Fora Soft Video Engineering Handbook

This guide compares on-camera, edge-server and cloud analytics on latency, bandwidth, cost, privacy and capability, with a 40-camera worked example. Our seven-volume handbook covers the stack behind video surveillance; start with Volume 6 on deployment topologies, detection and tracking, then Volume 7 for serving and cost per stream-hour and Volume 1 for encoding. Written by Nikolay Sapunov, CEO at Fora Soft.

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

Deciding whether your video analytics should run on cameras, edge or cloud?

Share your camera count and use cases, and we will model latency, bandwidth and monthly cost for each option. 250+ video products shipped since 2005.

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