Compress First. Then Analyze.

Rather than treating AI analysis and video compression as two separate technologies running side by side, AiVision360 combines them directly in the video pipeline, so bandwidth savings and detection both happen on the same stream, not as a tradeoff against each other.

The flow works in sequence: a camera captures raw video, the stream is compressed using the platform's bitrate control and codec pipeline, and AI analysis then runs directly on that compressed stream to generate detections, alerts, and events. Because compression is specifically tuned to preserve the visual detail AI needs, running analysis on the compressed version doesn't mean sacrificing accuracy, it means getting the bandwidth savings without paying for them in missed detections.

This matters most for organizations managing a lot of cameras across constrained networks, since it directly reduces both the bandwidth needed to move video and the storage needed to keep it, while keeping every detection capability fully active on the same reduced footprint.