BoardVision: Real-Time Motherboard Defect Detection using YOLOv7 and Faster R-CNN

This poster introduces BoardVision, a real-time system for detecting motherboard defects using YOLOv7 and Faster R-CNN. Designed for reproducibility and educational use, the tool includes a GUI and supports video, image, and live webcam input. Evaluations show promising accuracy across defect classes with interactive performance.

Publication Details

Journal
Maryland Shared Open Access Repository (USMAI Consortium)
Published
2025-04-29
DOI
https://doi.org/10.13016/m2ipva-3rks
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

BoardVision: Real-Time Motherboard Defect Detection using YOLOv7 and Faster R-CNN

Maryland Shared Open Access Repository (USMAI Consortium)
Industrial Vision Systems and Defect Detection
article

BoardVision: Real-Time Motherboard Defect Detection using YOLOv7 and Faster R-CNN

article en

Abstract

This poster introduces BoardVision, a real-time system for detecting motherboard defects using YOLOv7 and Faster R-CNN. Designed for reproducibility and educational use, the tool includes a GUI and supports video, image, and live webcam input. Evaluations show promising accuracy across defect classes with interactive performance.

Maryland Shared Open Access Repository (USMAI Consortium)
Gender equality
Openalex Percentile: Top 46%
Industrial Vision Systems and Defect Detection
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BoardVision: Real-Time Motherboard Defect Detection using YOLOv7 and Faster R-CNN · Maryland Shared Open Access Repository (USMAI Consortium) (2025) | TGRS Research Map | TGRS