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Conveyer belt deviation detecting method based on image identification

A technology of image recognition and detection method, which can be applied to conveyor objects, conveyor control devices, transportation and packaging, etc., and can solve problems such as poor real-time performance and versatility

Inactive Publication Date: 2015-11-25
QINGDAO UNIV OF SCI & TECH
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Problems solved by technology

[0005] The purpose of the present invention is to provide a conveyor belt deviation detection method based on image recognition, which solves the problems of poor real-time and universality in the prior art

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  • Conveyer belt deviation detecting method based on image identification
  • Conveyer belt deviation detecting method based on image identification
  • Conveyer belt deviation detecting method based on image identification

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Embodiment Construction

[0038] The technical solutions of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0039] See figure 1 , which is a flow chart of an embodiment of the image recognition-based conveyor belt deviation detection method of the present invention.

[0040] The core technical idea of ​​the conveyor belt deviation detection method based on image recognition described in this embodiment is to use the edge detector to directly detect the edge of the object in the real-time image, and then based on the known conveyor belt left deviation when the conveyor belt is not deviation , right reference edge to match and identify the detected edges, so as to identify the left and right real-time edges of the conveyor belt in the real-time image, and then process according to the positions of the conveyor belt reference edge and real-time edge, and then detect whether the current conveyor belt is Off track. T...

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Abstract

The invention discloses a conveyer belt deviation detecting method based on image identification. The method includes the steps that real-time images are collected, and gray level images are obtained; edges of all objects in the gray level images are detected through an edge detector; edge images are filtered through a filtering template based on the shape and the directivity, and linear type edge images in the direction the same with the conveyor belt running direction are obtained; the continuous edges are marked through two-dimensional matrixes; conveyer belt real-time edges in the real-time images are identified according to known conveyer belt standard edges obtained when a conveyer belt does not deviate; and the deviation distance and the deviation degree of the real-time edges are determined. According to the conveyer belt deviation detecting method, edge detection is carried out on the real-time images collected by video equipment, matching identification is carried out on the detected edges and the standard conveyer belt edges through the image identification technology, the edges of the conveyer belt are determined, and therefore the reliability and the promptness of conveyer belt deviation detection are improved.

Description

technical field [0001] The invention belongs to the technical field of transportation equipment, and in particular relates to an image recognition-based conveyor belt deviation detection method. Background technique [0002] The general-purpose belt conveyor is mainly composed of several parts such as a conveyor belt, a driving roller, a tensioning device, an idler frame, an idler shaft, and a transmission device. After the tape winds around the rollers at both ends, use tape clips or vulcanization methods to connect the two ends together to make it a closed-loop conveyor belt. The conveyor belt is supported by the upper and lower roller shafts, and is tightened by the tensioning device to have a certain tension. When the driving roller is driven by the motor to rotate, the friction between the driving roller and the conveyor belt drives the conveyor belt to run continuously, so that the load loaded on the conveyor belt is unloaded from the unloading roller. As the key equ...

Claims

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Application Information

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IPC IPC(8): B65G43/02
Inventor 马艳华
Owner QINGDAO UNIV OF SCI & TECH
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