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 ...
Following this, the field of object detection accelerated rapidly due to the advancement of AI, ML, and DL algorithms. One of the first important approaches in this field was proposed by R. Girschick et al., who developed the Regions with Convolutional Neural Network (RCNN) in 2014 (Girshic...
At present, many scholars have described the development of code clone detection technology in the field of software security from the dimensions of code representation, model design, similarity measurement algorithms, and performance metrics. However, these works mainly summarize the early code clone de...
Again, the sealing of the o-ring on the cap of the USB connection and around the central hub of the PCB disc-holder was confirmed. Thanks to the positive result of the twofold test under the same conditions, the quality and reliability of the mechanical design of the prototype has been ...
Deep learning based visual cognition has greatly improved the accuracy of defect detection, reducing processing times and increasing product throughput across a variety of manufacturing use cases. There is however a continuing need for rigorous procedures to dynamically update model-based detection methods...
Typical algorithms mainly include SPADE [54], PaDIM [55], PatchCore [56], etc. In addition to these two types, Deep Belief Network (DBN) and Self-Organizing Map (SOM) can also be used for surface defect detection. This section will first take the four network models of Autoencoder (AE...
We achieve state-of-the-art performance compared to other diffusion-based unsupervised anomaly detection algorithms while significantly reducing sampling time and memory consumption. The code is available at https://github.com/JuliaWolleb/Anomaly_berdiff. DISYRE v2: Ensembled cold-diffusion restorations...
Nagarajan, “Survey of Cleaning and cleanliness Measurement in Disk Drive Manufacture”, North Carolina Department of Environment and Natural Resources, Feb. 1997. Yee Leong Low et al., “Thermal network model for temperature prediction in hard disk drive” Journal Microsystem Technologies, vol. 15...
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 ...