A one-page reference to match each surveillance analytic to the tier that meets its performance budget: the four-leg detection-latency budget (capture/encode, frame-to-compute, inference, result delivery) with edge ~25–120 ms vs cloud ~300–800 ms; the placement rule (under 200 ms = edge, 200 ms–1 s = hybrid, multi-second = cloud); the accuracy ceiling by tier (nano ~40% mAP to xlarge ~55%, quantization gap under 3–8%); the rule that accuracy is a precision/recall range (LPR 90–98%, face recognit
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The book · Volume 1 of 7
Video Encoding: A Complete Guide to Video Compression — From Pixels and Color to H.264, HEVC, AV1, Quality Metrics, and AI
This reference matches each surveillance analytic to an edge, hybrid or cloud tier using a four-leg latency budget that starts with capture and encode. Volume 1 covers that first leg in detail: pixels and colour, H.264, HEVC and AV1 encoder choices, the quality metrics that show how much compression a detector tolerates, and AI inside the encoder. Written by Nikolay Sapunov, CEO at Fora Soft.
Deciding which camera analytics must run at the edge and which can wait for the cloud?
Send us your analytics list and latency needs, and we will assign each to an edge or cloud tier, with the encode settings and model size that meet its budget. 250+ video products shipped since 2005.
You get a realistic estimate, technical recommendations and next steps. Free, no obligations.
