Papers › AlertTrap: A study on object detection in remote insects trap monitoring system using...
AlertTrap: A study on object detection in remote insects trap monitoring system using on-the-edge deep learning platform
An D. Le, Duy A. Pham, Dong T. Pham, Hien B. Vo
Fruit flies are one of the most harmful insect species to fruit yields. In AlertTrap, implementation of SSD architecture with different state-of-the-art backbone feature extractors such as MobileNetV1 and MobileNetV2 appear to be potential solutions for the real-time detection problem. SSD-MobileNetV1 and SSD-MobileNetV2 perform well and result in AP@0.5 of 0.957 and 1.0 respectively. YOLOv4-tiny outperforms the SSD family with 1.0 in AP@0.5; however, its throughput velocity is slightly slower.
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