Ultra-lightweight MobileNetV2 classifiers running on ESP32-S3 microcontrollers can act as low-power, low-latency triggers for insect camera traps, achieving AUROC 0.918 to 0.964 on in-distribution test images.
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Towards Scalable Insect Monitoring: Ultra-Lightweight CNNs as On-Device Triggers for Insect Camera Traps
Ultra-lightweight MobileNetV2 classifiers running on ESP32-S3 microcontrollers can act as low-power, low-latency triggers for insect camera traps, achieving AUROC 0.918 to 0.964 on in-distribution test images.