Open Access

ARTICLE

Study of Shearing Line Traces Laser Detection System

Nan Pan^1*, Dilin Pan², Yi Liu², Gang Li³
1 Faculty of Civil Aviation and Aeronautical, Kunming University of Science & Technology, Kunming 650500, P.R. China
2 Kunming SNLab Tech Co., Ltd., Kunming 650228, P.R. China
3 Institute of Forensic science, Shijiazhuang Public Security Bureau, Shijiazhuang 050021, P.R. China
* Corresponding Author: Nan Pan,

Intelligent Automation & Soft Computing 2019, 25(2), 367-373. https://doi.org/10.31209/2019.100000098

Abstract

A set of laser detection system for shearing tools is developed, By holding breakage of the cable, firstly, using single-point laser displacement sensors to pick up surface features signal of line trace, then wavelet decomposition is used to reduce the noise, and the signal after noise reduction is obtained. After that, the threshold based sequence comparison method is used to achieve matches of similar coincidence for trace features, and then using a gradient descent method to getting the minimum cost of cost function value through continuous iterative, and finally realizing the fast traceability of corresponding shearing tool.

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Keywords

Line trace, Shearing tools, Threshold based sequence comparison, Machine learning.

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