Edge AI puts inference where the video is created: on the camera, the phone, or a small server in the same building. It avoids the round-trip to the cloud, which lowers delay, keeps footage local for privacy, and works when the network is poor.
The book · Volume 6 of 7
AI for Video: A Complete Guide to Intelligence in Video Products: From Models and Inference to Computer Vision, Speech, Search, and Generative Video
Edge AI decides where inference runs, on the camera, a phone or an on-site box, and that choice sets latency, bandwidth and privacy for the whole product. Volume 6 covers it in detail with deployment topologies, the AI feature lifecycle, model artifacts and computer vision, so you can decide what runs at the edge and what goes to the cloud. Written by Nikolay Sapunov, CEO at Fora Soft.
Deciding whether your video analytics should run as edge AI or in the cloud?
Tell us your devices and use case, and we will send an edge versus cloud plan with hardware options, latency and cost per stream. 250+ video products shipped since 2005.
