Kiang
Artificial intelligence enables non-invasive monitoring of kiang herds across the Tibetan Plateau and steppe regions. Drone and camera imagery document their seasonal migrations and provide accurate counts of herd size, foal survival, and age distribution. Observation tools capture their ecological role as grazers and interactions with other ungulates, supporting ecosystem balance studies. Behavior classification—covering grazing, running, vigilance, and breeding—delivers detailed insights into their life patterns. These AI-powered capabilities help researchers and conservationists better understand and protect the world’s largest wild ass species.
Herd Movement Tracking
Map seasonal migrations across the Tibetan Plateau and steppe regions.
Counting & Demographics
Estimate herd size, foal survival rates, and demographic structures.
Wild Herd Observation
Study ecological role as grazers and interactions with other ungulates.
Behavior Classification
Recognize grazing, running, vigilance, and breeding behaviors.
How it works?
Easy to use online cloud-based web service
Upload Images/videos
Aerial videos/images in various formats Orthophoto/TIFF images RGB, multispectral, thermal Surveillance (CCTV) cameras Agricultural machinery camera
Processing
in second
Download output
Weed distribution map with GIS data Weed clustering map with GIS data (GeoJSON, Shapefile, KML, CSV)
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Online Web Application
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