Overview
With the rapid advancement of technology, artificial intelligence (AI) and machine learning (ML) have emerged as key drivers of automation, progressively taking over roles traditionally filled by manual inspection methods. Central to this technological revolution is the need for comprehensive datasets, derived from diverse sources like X-ray, SEM (Scanning Electron Microscopy), THz (Terahertz) imaging, acoustic, optical, thermal analysis, and meticulous sample preparation. These datasets are the cornerstone for developing advanced algorithms that are reshaping the future of electronic systems. This scarcity of resources is a significant barrier, hindering innovation and collaborative efforts in the electronic systems sector. Recognizing this crucial need, Physical DB is committed to providing a secure, accessible platform for the sharing and utilization of these essential datasets. Our platform transcends being a mere collection of datasets; it is an active, thriving ecosystem aimed at engaging and empowering professionals across various domains – researchers, engineers, and industry experts alike. We strive to democratize access to these valuable resources, creating a centralized hub for data sharing that nurtures a spirit of collaboration and community.
Optical Imaging
The FPIC dataset was introduced to meet the growing demand for labeled ground truth data in the outsourced PCB manufacturing and hardware assurance sectors read more...
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This study examines various methods for automating the recognition and categorization of logos found on printed circuit boards (PCBs) and integrated circuits (ICs). read more...
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The document titled "Deep Learning-Based Approaches for Text Recognition in PCB Optical Inspection": A Survey read more...
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The IC SynthLogo dataset is a synthetic image dataset created to enhance the detection of counterfeit and recycled Integrated Circuits (ICs) in Printed Circuit Boards (PCBs). It utilizes read more...
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The document "EC-Seg: Electronic Component Segmentation for PCB Assurance and Counterfeit Avoidance" presents a study focused on enhancing PCB assurance through an automated read more...
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The DeepIC Logo dataset detailed emerges a crucial response to the growing hardware challenges caused by undetected faults in printed circuit board (PCB) read more...
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