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Low-power Embedded YOLOv8-NANO Intelligent Waste Rapid Sorting System
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Chun-xiang ZHU1, 2, Hong SHU1, 2, Bo YANG3, Bin-rui WANG1, 2, *
Science Technology and Engineering | 2025, 25(9) : 3806 - 3812
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Science Technology and Engineering | 2025, 25(9): 3806-3812
• Papers·Automation and Computational Technology •
Low-power Embedded YOLOv8-NANO Intelligent Waste Rapid Sorting System
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Chun-xiang ZHU1, 2, Hong SHU1, 2, Bo YANG3, Bin-rui WANG1, 2, *
Affiliations
  • 1 College of Engineering Training Center, China Jiliang University, Hangzhou 310018, China
  • 2 Zhejiang Province Key Laboratory of On-line Testing Equipment Calibration Technology Research, Hangzhou 310018, China
  • 3 Yunda Energy Technology Group Co., Ltd., Hangzhou 310012, China
Published: 2025-03-28 doi: 10.12404/j.issn.1671-1815.2403972
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In order to solve the problem of automatic sorting of garbage, an intelligent sorting method for household garbage was designed based on the artificial intelligence computing platform Jetson NANO and YOLOv8 algorithm. Firstly, the lightweight YOLOv8 multi-target detection algorithm was used to classify garbage into four categories and achieve accurate recognition in the presence of occlusion. Secondly, the CoreXY coordinate transformation algorithm was used to determine the optimal angle for mechanical claw grasping and achieve precise garbage grasping. Finally, based on TensorRT optimization technology, the lightweight YOLOv8 multi-objective detection algorithm was deployed on the NANO hardware platform, completing the overall construction of the four major categories of garbage intelligent sorting system based on YOLOv8-NANO. The results show that in the self-made garbage test consisting of four major categories and a total of 13 sub categories, the sorting system can effectively achieve detection of single and multiple targets. The detection mAP0.5:0.95 value is 97.3%, and the target detection speed reaches 30.6 frames/s. The fastest garbage sorting speed could reach 6 pieces/min.

YOLOv8  /  Jetson NANO  /  TensorRT deployment  /  multi-target detection  /  recognition and capture
Chun-xiang ZHU, Hong SHU, Bo YANG, Bin-rui WANG. Low-power Embedded YOLOv8-NANO Intelligent Waste Rapid Sorting System[J]. Science Technology and Engineering, 2025 , 25 (9) : 3806 -3812 . DOI: 10.12404/j.issn.1671-1815.2403972
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Year 2025 volume 25 Issue 9
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Article Info
doi: 10.12404/j.issn.1671-1815.2403972
  • Receive Date：2024-05-28
  • Online Date：2025-07-09
  • Published：2025-03-28
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  • Received：2024-05-28
  • Revised：2024-12-26
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Affiliations
    1 College of Engineering Training Center, China Jiliang University, Hangzhou 310018, China
    2 Zhejiang Province Key Laboratory of On-line Testing Equipment Calibration Technology Research, Hangzhou 310018, China
    3 Yunda Energy Technology Group Co., Ltd., Hangzhou 310012, China
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多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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