Abstract: Automated testing methods have evolved from expensive, proprietary "bed of nails" and "flying probe" testers to sophisticated Automated Optical Inspection (AOI) systems and software-based solutions. The rise of open-source hardware platforms like the NodeMCU (based on ESP8266/ESP32 microcontrollers) and powerful programming languages like Python has made it possible to create highly customized, cost-effective, and flexible automation systems. This project leverages these open-source tools to build an accessible and efficient automated bare board testing solution.
Keywords: PCB Testing, Automated Optical Inspection, PCB testing using AI, Hybrid test method, In circuit testing;
Downloads:
|
DOI:
10.17148/IJARCCE.2025.141140
[1] Priyanka Padmakar More, D.L.Bhuyar, J. N. Mohite, G. B. Dongre, "Bare Board PCB Testing Using Generative AI & Hardware Test By Nodemcu," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.141140
