The survey encompasses diverse detection techniques, which include algorithms based on the CNN, MobileNet, YOLO, SSD, and FPN models, etc. By comparing their accuracy, researchers can gain valuable insights into the effectiveness of each approach for different types of PCB defects. ...
Numerous techniques have been developed to detect fabric defects and the purpose of this paper is to categorize and/or describe these algorithms. This paper attempts to present the first survey on fabric defect detection techniques presented in about 160 references. Categorization of fabric defect ...
Considering that traditional object detection algorithms have low accuracy in handling PCB images with complex backgrounds, various types, and small-sized defects, this paper proposes a PCB defect detection algorithm based on a novel YOLOv5 multi-scale attention mechanism(EMA) spatial pyramid dilated ...
Finally, we propose three trend detection algorithms to provide real time feedback that accounts for repeated defect location, increasing defect occurrences and increasing defect sizes. This way, a complete and efficient machine vision based PCB inspection system is presented as a possible alternative ...
This article attempts to present a comprehensive survey on surface defect detection technologies by reviewing about 120 publications over the last two decades for three typical flat steel products of con-casting slabs and hot-and cold-rolled steel strips. According to the nature of algorithms as ...
2.2. Grammar-Based Clone Detection Methods In the process of clone detection, the representation of source code determines the upper limit of information extraction, which further limits the model design and the selection of similarity measurement algorithms and ultimately affects the detection effect. ...
Random forest-based classification algorithms have also been employed to recognize a failure caused by electrolyte leak [9]. Other approach based on a quantitative analysis of probability of battery failures was applied as well, where a big data platform for electric vehicles were used [10]. A ...
machine vision inspection system to detect surface defects in steel. Here, YOLOv5 and U-Net, representative computer vision algorithms, were applied to the study. The applicability of a deep-learning-based machine vision inspection system was demonstrated by showing high-level defect detection results...
This product is suitable for detecting tiny and precise devices in the production line, and is very suitable for the need to observe the surroundings of the device. ØHDMI high-definition interface output ØU disk storage Ø multi-level wide dynamic range ...
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