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Splash type spark detection method and device based on background model

A background model, spark detection technology, applied in character and pattern recognition, image data processing, instruments, etc., can solve problems such as high annotation and time costs, and the real-time detection accuracy of deep learning detection methods cannot meet detection requirements. , to achieve the effects of good real-time performance, improved processing speed, and reduced labor costs

Pending Publication Date: 2022-03-25
TONGJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The real-time performance of the above-mentioned deep learning detection method and the accuracy of small object detection cannot meet the detection requirements
In addition, there are still a certain number of spark image datasets that need to be manually labeled, and the labeling and time costs are high.

Method used

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  • Splash type spark detection method and device based on background model
  • Splash type spark detection method and device based on background model
  • Splash type spark detection method and device based on background model

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Embodiment Construction

[0060] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0061] A splash spark detection method based on a background model, in the form of a computer program, can be executed by a computer system, such as figure 1 shown, including:

[0062] Step S1: Carry out on-site calibration of the detection scene to obtain the transformation parameters for converting the input image into a plane view angle. The plane view angle is a top view view angle. The transformation parameters include the pixel-to-actual length ratio R and the homography matrix H, specifically including:

[0063] Step S11: Measuring the actual length L and width W of the rectan...

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Abstract

The invention relates to a splash spark detection method and device based on a background model, and the method comprises the steps: S1, carrying out the field calibration of a detection scene, and obtaining a transformation parameter for converting an input image into a plane view angle; s2, establishing a background model or a background mask image of the detection scene; s3, extracting a foreground part based on the background model or the background mask image; s4, spark connected domain extraction is carried out on the extracted foreground part, and spark geometric information is solved; and S5, updating the background model according to the background mask image and the foreground extraction result. Compared with the prior art, the method has the advantages of being good in real-time performance, high in accuracy, free of manual data annotation and the like.

Description

technical field [0001] The invention relates to the field of splash spark detection, in particular to a splash spark detection method and device based on a background model. Background technique [0002] In many industrial production lines such as manufacturing, cutting and curling of metal workpieces, due to the friction exerted by processing equipment such as knives and fixtures on raw materials and the high-speed movement of conveyor belts, splashing sparks will be generated at the connection between metal materials and processing equipment. In general, the intensity or size of splashing sparks is related to factors such as the magnitude of the force, the size of the contact area at the material joint, and the roughness of the contact surface at the joint. Since the above factors are correlated with splashing sparks, the size of splashing sparks can also be used as one of the reference factors for workpiece processing quality. For example, during the processing of strip ...

Claims

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Application Information

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IPC IPC(8): G06T1/00G06T3/00G06T7/187G06T7/62G06V10/74G06V10/764
CPCG06T1/0014G06T7/187G06T7/62G06F18/241G06T3/06
Inventor 董延超罗安扬
Owner TONGJI UNIV
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