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Date: October 12, 2019

In collaboration with Microsoft: AI for Earth, students designed and developed a sophisticated and low-cost backyard camera trap that integrates machine learning (ML) on the Edge, connectivity, and cloud services to offer a real-time window into biodiversity.

The device can capture and identify over 5,000 species and has built-in notification/alert features to inform the user in real time when species are spotted.

After conversations with conservationists, ecologists, and wildlife researchers, the students determined the technology could potentially be applied to support new methods of conservation research and management, and to inform conservation policies.