Object detection for industrial applications refers to analyzing the captured images and
videos and finding the relationship between the detected objects for better optimization, data …

The quality of the printed circuit board (PCB), an essential critical connection in
contemporary electronic information goods, directly influences the efficiency and …

Manual surface inspection methods performed by quality inspectors do not satisfy the
continuously increasing quality standards of industrial manufacturing processes. Machine …

We adopted actual intelligent production requirements and proposed a tiny part defect
detection method to obtain a stable and accurate real-time tiny part defect detection system …

With the wide applications of power battery in the automobile industries, the safety of power
battery is becoming an increasingly prominent problem. At present, a safety vent welded on …

Recently, many companies have introduced automated defect detection methods for defect-
free PCB manufacturing. In particular, deep learning-based image understanding methods …

Artificial intelligence (AI) has been successfully applied in industry for decades, ranging from
the emergence of expert systems in the 1960s to the wide popularity of deep learning today …

Printed circuit boards (PCBs) are primarily used to connect electronic components to each
other. It is one of the most important stages in the manufacturing of electronic products. A …

Prereflow automatic optical inspection (AOI) has been widely used to ensure product quality
in surface mount technology (SMT). When confronted with a complex industrial environment …

A deep ensemble convolutional neural network (CNN) model to inspect printed circuit board
(PCB) board dual in-line package (DIP) soldering defects with Hybrid-YOLOv2 (YOLOv2 as …