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Online visual inspection method

A technology of visual inspection and communication, applied in the field of visual inspection, can solve the problems of limited image recognition speed, and achieve the effect of fast image recognition speed and fast operation speed

Pending Publication Date: 2022-06-07
佛山市金页盈信智能机械有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When making comparisons, the processor in the CCD module needs to repeatedly call data from the memory of the CPU to perform calculations when pre-processing the product image, and the image recognition speed is limited.

Method used

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Embodiment Construction

[0029] The following describes in detail the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, only used to explain the present invention, and should not be construed as a limitation of the present invention.

[0030] In the description of the present invention, it should be understood that the azimuth description, such as the azimuth or position relationship indicated by up, down, front, rear, left, right, etc., is based on the azimuth or position relationship shown in the drawings, only In order to facilitate the description of the present invention and simplify the description, it is not indicated or implied that the indicated device or element must have a particular orientation, be construc...

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Abstract

The invention discloses an online visual detection method, which comprises the following steps of: 1) inputting a recognition image array into a memory included in a processor; step 2), inputting a weight array into the input memory; step 3), photographing the object to obtain product image data, arranging the obtained product image data into a product image array by a processor, and storing the product image array in a memory; 4) calling out the product image array and the weight array from the memory by the processor, and processing the product image array and the weight array in an array pulsation form to obtain a comparison result; and 5) performing similarity comparison on the comparison result and the recognition image array. According to the online visual detection method, the product image data array and the weight array are input into the operation unit at one time, elements in the product image array and the weight array are multiplied and then accumulated, the processor only needs to call data from the memory for one time to execute operation, repeated registering and calling are not needed, and the image recognition speed is high.

Description

technical field [0001] The invention relates to the field of visual detection, in particular to an online visual detection method. Background technique [0002] In the process of automated production, in order to ensure the stability of continuous production, it is necessary to design multiple tests on the production line. When performing visual inspection, the current method is usually to configure the CCD module to take pictures of the products on the production line, and then compare the pictures with the pictures pre-stored in the memory of the CCD module. When comparing, the processor in the CCD module needs to repeatedly call data from the memory of the CPU to perform operations when pre-processing the product image, and the image recognition speed is limited. SUMMARY OF THE INVENTION [0003] The present invention aims to solve at least one of the technical problems existing in the prior art. [0004] The present invention provides an online visual detection metho...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T1/00G06T1/20G06T1/60G06K9/62G06V10/74
CPCG06T7/0004G06T1/0007G06T1/20G06T1/60G06F18/22Y02P90/30
Inventor 邓俊枫邓国兴
Owner 佛山市金页盈信智能机械有限公司