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Real-time visual detection method for electric shovel bucket tooth missing

A technology of real-time vision and detection methods, applied in image data processing, instrument, character and pattern recognition, etc., can solve the problem of high false alarm rate

Inactive Publication Date: 2018-03-30
ZHONGBEI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, judging from the usage situation in various places, the proportion of false positives is still relatively high.

Method used

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  • Real-time visual detection method for electric shovel bucket tooth missing
  • Real-time visual detection method for electric shovel bucket tooth missing
  • Real-time visual detection method for electric shovel bucket tooth missing

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Embodiment Construction

[0082] The specific embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0083] Such as figure 1 as shown, figure 1 It is the basic frame diagram of the system of the electric bucket tooth detection method based on SVM and SC; the electric bucket tooth detection method based on SVM and SC obtains the decision function by extracting the HOG features of positive and negative samples and inputting them into the SVM classifier for training , HOG feature extraction is performed on the pictures taken in real time at the scene, and the decision function is used to classify HOG to achieve the preliminary detection of the bucket teeth of the electric shovel, and combined with SC to constrain the preliminary detection results of the bucket teeth of the electric shovel, complete the detection of the electric shovel Accurate detection of bucket teeth, the number of detected electric shovel teeth is obtained, and...

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Abstract

The invention belongs to the mining technical field and specifically relates to a real-time visual detection method for electric shovel bucket tooth missing. The method comprises the following steps:1)shooting a group of positive and negative samples of electric shovel bucket teeth in advance; 2) extracting HOG features of the positive and negative samples; 3) inputting the HOG features to an SVMclassifier for training and obtaining a decision function; 4) inputting the pictures shot in real time on site, carrying out HOG feature extraction through a detection window, and then, through SVM classification, finishing preliminary detection of the electric shovel bucket teeth; 5) carrying out SC constraint on the obtained electric shovel bucket tooth detection result to finish accurate detection of the electric shovel bucket teeth, wherein the step is realized through the following specific substeps: a) image preprocessing and contour extraction, b) SC feature calculation and c) shape similarity calculation; and 6) comparing the accurate detection result of the electric shovel bucket teeth and the number of bucket teeth set in advance when the electric shovel bucket teeth are intactto judge whether the electric shovel bucket teeth are missing. The method overcomes the problem of low accuracy due to false detection and detection miss of a conventional visual detection method, andreduces false alarm rate.

Description

technical field [0001] The invention belongs to the technical field of mining, in particular to a real-time visual detection method for missing teeth of an electric shovel. Background technique [0002] When the electric shovel is in the mining operation, due to the interaction between the electric shovel teeth and the material, the electric shovel teeth are subjected to shearing and extrusion forces, and bear a certain impact load. The bucket teeth of the electric shovel are easy to break or loosen and fall off. [0003] After the bucket teeth of the electric shovel fall off, it not only increases the frictional resistance during the operation of the electric shovel, but also makes it difficult to cut when the bucket digs materials, accelerates the wear of the bucket, and affects the service life of the bucket; more importantly, it is made of high manganese steel Or the electric shovel teeth made of alloy steel are much harder than ore. If the hard electric shovel teeth en...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62G06K9/46
CPCG06T7/0008G06T2207/30164G06V10/44G06V10/50G06F18/22G06F18/2411
Inventor 王日俊董磊段能全王俊元党长营曾志强杜文华段宇秀陈立王俊凤刘东曜崔铮薛亮
Owner ZHONGBEI UNIV
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