Mr. Huayu Zhang Profile

Huayu Zhang

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 20 January 2025 Paper

CS-YOLO: a YOLOv5-based SMT defect detection algorithm

Huayu Zhang, Pujun Mao, Zongkun Wu

Proceedings Volume 13515, 135150S (2025) https://doi.org/10.1117/12.3054280

KEYWORDS: Defect detection, Detection and tracking algorithms, Target detection, Small targets, Feature extraction, Education and training, Deep learning, Data modeling

Read Abstract +

At present, SMT defects have problems such as dense distribution of small components and similar and overlapping characteristics among defects, which lead to low accuracy of defect detection. It is proposed to use CS-YOLO defect detection algorithm to improve the SMT detection accuracy. Firstly, based on the YOLOv5 model, the SPD-Conv module is used to enhance the extraction ability of pixel feature information in the pooling process; secondly, the CBAM module retains important feature information from channel attention and spatial attention to improve the perception ability of the model to represent different degrees of features; the MPDIoU is used to calculate the loss function, reduce the distance between the target box and the detection box and reduce influences of additional redundant information, and to improve the efficient positioning and classification of small target positions. Finally, the experimental data show that the mAP, recall rate and accuracy of the algorithm are somewhat improved compared with the original algorithm, and they are deployed in the actual PCB production process. This algorithm significantly enhances the performance and detection rate of SMT small targets, demonstrating its effectiveness.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years