Shengran Zhao, Zhensong Li*, Xiaotan Wei, Yutong Wang, Kai Zhao
CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-14, 2026, DOI:10.32604/cmc.2025.068138
- 10 November 2025
Abstract In printed circuit board (PCB) manufacturing, surface defects can significantly affect product quality. To address the performance degradation, high false detection rates, and missed detections caused by complex backgrounds in current intelligent inspection algorithms, this paper proposes CG-YOLOv8, a lightweight and improved model based on YOLOv8n for PCB surface defect detection. The proposed method optimizes the network architecture and compresses parameters to reduce model complexity while maintaining high detection accuracy, thereby enhancing the capability of identifying diverse defects under complex conditions. Specifically, a cascaded multi-receptive field (CMRF) module is adopted to replace the SPPF module… More >
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