[HTML][HTML] Enhanced YOLOv8 with BiFPN-SimAM for Precise Defect Detection in Miniature Capacitors

N Li, T Ye, Z Zhou, C Gao, P Zhang - Applied Sciences, 2024 - mdpi.com
In the domain of automatic visual inspection for miniature capacitor quality control, the task
of accurately detecting defects presents a formidable challenge. This challenge stems …

A light-weight defect detection model for capacitor appearance based on the Yolov5

L Xu, X Xu, Q Xia, Y Yao, Z Jiang - Measurement, 2024 - Elsevier
As one of the most important electronic components, capacitors are very important for
appearance inspection in the production process. However, the current production process …

Automated Printed Circuit Board Inspection: Incorporating YOLOv8 for Efficient Defect Detection

G Swathi, R Reddy, A Reddy… - 2023 6th International …, 2023 - ieeexplore.ieee.org
In the realm of modern electronics, Printed Circuit Boards (PCBs) serve as fundamental
components, facilitating the seamless integration of circuits across a wide spectrum of …

[HTML][HTML] Advancements in Electric Vehicle PCB Inspection: Application of Multi-Scale CBAM, Partial Convolution, and NWD Loss in YOLOv5

H Xu, L Wang, F Chen - World Electric Vehicle Journal, 2024 - mdpi.com
In the rapidly evolving electric vehicle industry, the reliability of electronic systems is critical
to ensuring vehicle safety and performance. Printed circuit boards (PCBs), serving as a …

WDC-YOLO: an improved YOLO model for small objects oriented printed circuit board defect detection

X Song, Y Wang, C Li, L Song - Journal of Electronic Imaging, 2024 - spiedigitallibrary.org
The detection of surface defects on a printed circuit board (PCB) plays a crucial role in
ensuring the quality of PCB products. To address the diversity of defect poses and the …

New PCB Defect Identification and Classification Method Combining MobileNet Algorithm and Improved YOLOv4 Model

H Zhu, L Xing, H Fan, T Wu - 2022 - researchsquare.com
With the popularization of the emerging 3C products (eg, smartwatches, smart entertainment
robots, and various wearable devices), printed circuit boards (PCBs), considered as the core …

FCD-YOLO: Improved YOLOv5 Based on Decoupled Head and Attention Mechanism for Defect Detection on Printed Circuit Board

H Xu - 2022 2nd International Conference on Networking …, 2022 - ieeexplore.ieee.org
Defect detection technology is an indispensable quality control technology in PCB
manufacturing. However, the effect of the existing PCB defect detection algorithm is not …

[HTML][HTML] Chip Pad Inspection Method Based on an Improved YOLOv5 Algorithm

J Xu, Y Zou, Y Tan, Z Yu - Sensors, 2022 - mdpi.com
Chip pad inspection is of great practical importance for chip alignment inspection and
correction. It is one of the key technologies for automated chip inspection in semiconductor …

[HTML][HTML] Online insulator defects detection and application based on YOLOv7-tiny algorithm

S Wu, X Gan, J Xiao, C Ma, T Deng, Z Du… - Frontiers in Energy …, 2024 - frontiersin.org
As an indispensable part of the power transmission system, insulators are of great
importance to the safe and stable operation of power grids in terms of their healthy and …

Surface Defect Detection Method for Steel Materials Based on Improved YOLOv7

SY Luo, B Jia, J Zhao, QS Niu - 2023 8th International …, 2023 - ieeexplore.ieee.org
The YOLOv7 algorithm is widely used for surface defect detection, but it suffers from issues
such as complex structure and poor detection accuracy. To address these problems, this …