Dot-Flik uses temporal differencing and block motion analysis at the edge to discard 60-80% of frames while supporting real-time insect classification across multiple low-cost streams.
Towards a standardized framework for AI- assisted, image-based monitoring of nocturnal insects,
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Dot-Flik: A Scalable Edge AI Architecture for Distributed Insect Monitoring
Dot-Flik uses temporal differencing and block motion analysis at the edge to discard 60-80% of frames while supporting real-time insect classification across multiple low-cost streams.