EC-SEG ELECTRONIC COMPONENT SEGMENTATION_Dataset

EC-SEG ELECTRONIC COMPONENT SEGMENTATION

Description The document "EC-Seg: Electronic Component Segmentation for PCB Assurance and Counterfeit Avoidance" presents a study focused on enhancing PCB assurance through an automated segmentation algorithm, EC-Seg. This tool is specifically designed to detect and isolate PCB components, which is crucial for automating component identification and authentication processes. The document also highlights how EC-Seg can assist in the detection of logos and text markings on PCBs, thereby facilitating quality assurance and bill-of-material extraction. Additionally, the algorithm holds potential for use in object detection networks and sensor fusion in PCB X-ray tomography. The study demonstrates EC-Seg's efficiency in automating quality assurance toolchains.
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Mukhil Azhagan Mallaiyan Sathiaseelan, Sudarshan Agrawal, Manoj Yasaswi Vutukuru, Navid Asadizanjani; October 31–November 4, 2021. "EC-Seg: Electronic Component Segmentation for PCB Assurance and Counterfeit Avoidance." Proceedings of the ISTFA 2021. ISTFA 2021: Conference Proceedings from the 47th International Symposium for Testing and Failure Analysis. Phoenix, Arizona, USA. (pp. pp. 65-72). ASM.