A research team affiliated with UNIST has unveiled an innovative, high-precision AI-powered quality inspection system that ...
School of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China Previous studies on 10 kV cable intermediate joint defects have mainly focused on typical defect types and ...
Chip scale package (CSP) light-emitting diode (LED) is miniaturized light-emitting diodes designed for automated chip-level packaging. Defect detection is particularly challenging due to the high ...
To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...
Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland Research Unit of Disease Networks, Faculty of Biochemistry and Molecular ...
This project presents a complete workflow for cone detection in Formula Student Driverless scenarios using deep learning. It demonstrates how to use MATLAB® and Simulink® for data preparation and ...
At present, most of the industries have adopted to automate different processes on their production. Therefore, monitoring of quality of raw material play a crucial role on the production of quality ...
Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR 999077, China Guangdong-Hongkong-Macau Joint Laboratory of Collaborative ...
Scientists from the federally funded Argonne National Laboratory in Illinois and the University of Virginia have developed a new approach for detecting defects in metal parts produced by 3D printing.