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Information recognition and surface defect online detection method based on machine vision

A technology of information recognition and machine vision, applied in instruments, image data processing, computing, etc., can solve the problems of easy missed detection, low reliability, low efficiency, etc., and achieve the effect of improving production efficiency

Active Publication Date: 2018-06-19
艾科芯(深圳)智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a machine vision-based information identification and surface defect online detection method, which solves the problems of high labor cost, low efficiency, low reliability, and prone to missing inspections in the production quality monitoring of industrial products existing in the prior art. question

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  • Information recognition and surface defect online detection method based on machine vision
  • Information recognition and surface defect online detection method based on machine vision
  • Information recognition and surface defect online detection method based on machine vision

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Embodiment Construction

[0050] The present invention will be described in detail below in combination with specific embodiments.

[0051] The present invention is based on machine vision information identification and surface defect online detection method, specifically implemented according to the following steps:

[0052] Step 1, image acquisition, step 1 is specifically:

[0053] When the sensor next to the industrial assembly line perceives the passing of the product, it triggers the industrial camera to collect the product picture in real time, and sends the picture data to the computer through the network cable. The sensor generally chooses the grating sensor in practical applications;

[0054] Step 2, data modeling, specifically implemented according to the following steps:

[0055] Step (1.1), select the image of the character area in the picture data obtained in step 1, and perform binarization processing on the image of the character area: assuming that the image of the character area is s...

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Abstract

The invention discloses an information identification and surface defect online detection method based on a machine visual sense, comprising steps of collecting image, modeling data, analyzing and processing real-time images and identifying changing information and analyzing that whether the product surface has defects, and performing processing control on the feedback result. The information identification and surface defect online detection method based on the machine visual sense solves the problems in the prior art that the industrial product production quality monitoring labor cost is high, efficiency and reliability are low and the detection missing detection frequently happens.

Description

technical field [0001] The invention belongs to the technical field of machine vision, and in particular relates to a machine vision-based information identification and surface defect online detection method. Background technique [0002] In the field of industrial production, in the process of industrial production such as printing and packaging, the automation degree, production efficiency and quality requirements of mechanical equipment are getting higher and higher; with the continuous development of mechanical equipment technology and the increase of production speed, in order to improve the production of the whole product Efficiency ensures product quality at the same time, and production quality inspection efficiency also needs to be continuously improved; traditional quality inspection uses manual real-time online inspection of product quality, which has low efficiency, low controllability, and there may be missed inspections. In the production process of high-speed...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
CPCG06T7/0004
Inventor 姚健高磊
Owner 艾科芯(深圳)智能科技有限公司