Small crack detection method for cylinder block based on improved SSD model research

Lingju Kong; Cheng Sun; Weijie Li; Yaohua Deng

doi:10.1117/12.2611283

14 October 2021 Small crack detection method for cylinder block based on improved SSD model research

Lingju Kong, Cheng Sun, Weijie Li, Yaohua Deng

Proceedings Volume 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation; 119302C (2021) https://doi.org/10.1117/12.2611283
Event: International Conference on Mechanical Engineering, Measurement Control, and Instrumentation (MEMCI 2021), 2021, Guangzhou, China

Abstract

In order to detect small cracks on the surface of casting workpieces in real time, this paper proposes a feature fusion target detection algorithm based on SSD network. First, the image is reshaped and fed into the network to generate multiple feature maps of different scales. First, the image is resized and fed into the network to generate multiple feature maps of different scales. Feature fusion is performed between feature maps to generate new feature maps. Finally, multiple new feature maps are used to predict crack coordinates and probability. After experimental testing, the detection speed of the algorithm in this paper reaches 87fps, while the accuracy rate reaches 92.3%, indicating that the algorithm has high detection accuracy and speed.

Citation Download Citation

Lingju Kong, Cheng Sun, Weijie Li, and Yaohua Deng "Small crack detection method for cylinder block based on improved SSD model research", Proc. SPIE 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation, 119302C (14 October 2021); https://doi.org/10.1117/12.2611283

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KEYWORDS

Detection and tracking algorithms

Target detection

Electrical engineering

Defect detection

Manufacturing

Visualization

Data modeling

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