AlertTrap:边缘计算远程昆虫监测系统的设计

Duy A. Pham, A. D. Le, Dong T. Pham, H. B. Vo
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引用次数: 5

摘要

果蝇是影响水果产量的最令人担忧的昆虫之一。AlertTrap提出并测试了组成组件来构建一个有效的自动陷阱,当苍蝇数量超过预定义的阈值时,它会向农民发送通知。该陷阱由太阳能电池板供电,配备了lynfield启发的粘性陷阱,该陷阱经过优化,可以吸引果蝇,并由Arduino板控制,以收集数据并通过系统循环能量。然后在树莓派板上使用YOLOv4-tiny和SSD-MobileNet目标检测算法对果蝇进行计数,平均精度超过95%,IoU阈值为0.5,并根据陷阱中的果蝇数量向农民发送警报信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AlertTrap: On Designing An Edge-Computing Remote Insect Monitoring System
Fruit flies become one of the most worrisome insect species to fruit yields. AlertTrap proposes and tests the constituent components to construct an efficient autonomous trap which sends notification to farmers when the number of flies exceeds a predefined threshold. The trap is powered with solar panels, equipped with a Lynfield-inspired sticky trap that is optimized to be attractive to fruit flies and controlled by an Arduino Board to collect data and circulate the energy through the system. The fruit flies are then counted on a Raspberry Pi Board by YOLOv4-tiny and SSD-MobileNet object detection algorithms with over 95% average precision at IoU threshold of 0.5 and an alert signal is sent to the farmers based on the number of fruit flies in the trap.
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