Analysis and research on road garbage recognition and detection based on mobile garbage collection robot

Shen Wang; Ning Chen; Yan Huang; Dong Wei; Bo Liang; Yuling Li

doi:10.1117/12.2689066

18 July 2023 Analysis and research on road garbage recognition and detection based on mobile garbage collection robot

Shen Wang, Ning Chen, Yan Huang, Dong Wei, Bo Liang, Yuling Li

Proceedings Volume 12744, Second International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2023); 127441J (2023) https://doi.org/10.1117/12.2689066
Event: Second International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2023), 2023, Nanjing, China

Abstract

Mobile grasping robots have broad application prospects in fields such as logistics warehousing, smart homes, crop harvesting, and road garbage collection. They can significantly improve production efficiency, reduce labor costs, and make people's lives more convenient. However, due to complex backgrounds and lighting conditions, mobile grasping robots are prone to missing or misidentifying objects during grasping. This paper proposes a method based on the YoloV5 network, which uses Imgaug data augmentation to enhance and transform image data, as well as lightweight improvements to the YoloV5 network structure. Experimental results show that this method can effectively solve this problem.

Citation Download Citation

Shen Wang, Ning Chen, Yan Huang, Dong Wei, Bo Liang, and Yuling Li "Analysis and research on road garbage recognition and detection based on mobile garbage collection robot", Proc. SPIE 12744, Second International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2023), 127441J (18 July 2023); https://doi.org/10.1117/12.2689066

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KEYWORDS

Object detection

Detection and tracking algorithms

Analytical research

Image enhancement

Performance modeling

Roads

Deep learning

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