Research on surface garbage collection device based on YOLOv7

Bin Yuan; Lingpeng Chen; Chen Li; Zhiqiang Hu

doi:10.1117/12.3026351

9 February 2024 Research on surface garbage collection device based on YOLOv7

Bin Yuan, Lingpeng Chen, Chen Li, Zhiqiang Hu

Proceedings Volume 13073, Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023); 1307305 (2024) https://doi.org/10.1117/12.3026351
Event: Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023), 2023, Changsha, China

Abstract

To solve the problem of low efficiency of artificial salvage of surface garbage, a surface garbage collection device based on Raspberry PI was proposed. The YOLOv7 object detection model and binocular camera were used to recognize and locate surface garbage, and the brushless motor and steering gear were used to drive the garbage to the garbage location to collect garbage. In addition, GPS module and ultrasonic module are added to realize global path planning function based on ant colony algorithm and obstacle avoidance function of artificial potential field. The test proves that the device can realize the functions of garbage identification, garbage location, garbage collection and automatic cruise.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Bin Yuan, Lingpeng Chen, Chen Li, and Zhiqiang Hu "Research on surface garbage collection device based on YOLOv7", Proc. SPIE 13073, Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023), 1307305 (9 February 2024); https://doi.org/10.1117/12.3026351

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