YOLO-SUMAS: Improved Printed Circuit Board Defect Detection and Identification Research Based on YOLOv8

Aiming at the demand for defect detection accuracy and efficiency under the trend of high-density and integration in printed circuit board (PCB) manufacturing, this paper proposes an improved YOLOv8n model (YOLO-SUMAS), which enhances detection performance through multi-module collaborative optimiza...

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Bibliographic Details
Main Authors: Ying Tang, Runhao Liu, Sheng Wang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Micromachines
Subjects:
Online Access:https://www.mdpi.com/2072-666X/16/5/509
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