Printed circuit board inspection using computer vision

Author:

Rajesh A.,Jiji G. Wiselin

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference35 articles.

1. Adibhatla VA, Chih H-C, Hsu C-C, Cheng J, Abbod MF, Shieh J-S (2020) Defect detection in printed circuit boards using you-only-look-once convolutional neural networks. Electronics 9(9):1547

2. Alghassab MA (2022) Defect detection in printed circuit boards with pre-trained feature extraction methodology with convolution neural networks. Comput Mater Contin 70(1):637–652

3. Barker JA, Thornton JM (2003) An algorithm for constraint-based structural template matching: application to 3D templates with statistical analysis. Bioinformatics 19(13):1644–1649

4. Baygin M, Karakose M, Sarimaden A, Erhan AKIN (2017) Machine vision based defect detection approach using image processing. In: 2017 international artificial intelligence and data processing symposium (IDAP). IEEE, pp 1–5

5. Chaudhary V, Dave IR, Upla KP (2017) Automatic visual inspection of printed circuit board for defect detection and classification. In: 2017 international conference on wireless communications, signal processing and networking (WiSPNET). IEEE, pp 732–737

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