AI Computer Vision and Real-Time Object Detection

Most video analytics products scan recorded footage afterwards. Kalynda's architecture processes the live stream: an RTMP or RTSP feed is split into frames, the model classifies each frame, and a detection reaches the dashboard — and an alert, where configured — within seconds.

The difference is operational: seeing an object on the runway in tomorrow's report is not the same as catching it before the next departure.

On sites with weak connectivity, shipping full video to the cloud is not realistic. The model can run on the edge device, sending only detections and evidence frames upstream. That cuts both latency and data cost.

Models are retrained on imagery from the customer's own site — a runway, a coastline and a forest canopy are very different backgrounds, and a general-purpose model does not close that gap by itself.

FOD detection on runways and taxiways; vehicle density and classification on highways; oil spill and plastic accumulation along coastlines and offshore; smoke and heat-source detection for wildfire early warning; crop health and irrigation monitoring on farmland; damage assessment and search-and-rescue support after a disaster.