Will AI help save the snow leopard?
summary
A working pipeline trains a deep neural network (ResNet‑50 pretrained on ImageNet) to sort camera‑trap photos and deploys it on Azure as a Snow Leopard classifier as a service, cutting the manual review burden that used to take 300 hours per survey for a five‑person team. The project ingests images from 300+ camera traps across vast Himalaya ranges, eliminates most false‑positive triggers, and now moves toward the harder task of individual identification to track animals over time.
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chapters (10)
- 0:00Snow leopard crisis intro
- 1:28Apex predators restore ecosystems
- 3:16Snow Leopard Trust mission
- 4:21Tracking snow leopards with GPS
- 5:26Camera traps manual analysis
- 7:14AI Snow Leopard image classification
- 8:42Ecologist AI assistance experience
- 9:50Future of snow leopard ID
- 10:11Conservation tech evolution
- 11:02AI impact human foundation
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