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Additive Manufacturing-Enabled Low-Cost Particle Detector
Published on: March 24, 2023
Yingjian Fang1,2,3,4, Qingxiao Wu1,2, Sicong Li1,2
1Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China.
这项研究使用改进的YOLOv5算法来增强工业物体检测. 该方法提高了识别和定位工业目标的准确性和稳定性,即使有遮蔽和杂乱.
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