Intelligent garbage sorting truck system based on deep learning
Aiming at the efficient classification and handling of domestic waste, this article designed a photoelectric smart car system with the edge embedded AI device Jetson Nano as the controller. The system is designed with YOLOv5 as the target detection algorithm and Pytorch1.8.1 as the deep learning fra...
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| Main Authors: | , |
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| Format: | Article |
| Language: | Chinese |
| Published: |
National Computer System Engineering Research Institute of China
2022-01-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000145081 |
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| Summary: | Aiming at the efficient classification and handling of domestic waste, this article designed a photoelectric smart car system with the edge embedded AI device Jetson Nano as the controller. The system is designed with YOLOv5 as the target detection algorithm and Pytorch1.8.1 as the deep learning framework. The system makes the smart car start from the designated location, search for garbage in the designated area through its own photoelectric sensor, identify and classify the garbage, and use the six-axis robotic arm to sort the garbage and send it to the designated stacking place. 300 iterations of training were performed on the collected 5 048 pictures and 5 types of garbage. The experimental test results show that the average accuracy reaches 91.8%, the accuracy rate reaches 94.5%, and the recall rate reaches 89.03%. |
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| ISSN: | 0258-7998 |