Method for carrying out non-invasive production defect identification and information communication on finished product by applying artificial intelligence cloud computing

An artificial intelligence, non-intrusive technology, applied in the field of electronic information, can solve the problems of high additional cost of real-time communication, test results cannot be shared by buyers, etc., to achieve the effect of improving confidence and satisfaction, improving product quality, and reducing costs

Inactive Publication Date: 2019-09-27
东莞德福得精密五金制品有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Furthermore, test results are often not immediately shared with the buyer due to the high additional cost of real-time communication

Method used

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  • Method for carrying out non-invasive production defect identification and information communication on finished product by applying artificial intelligence cloud computing
  • Method for carrying out non-invasive production defect identification and information communication on finished product by applying artificial intelligence cloud computing

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Embodiment Construction

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0029] See attached Figure 1 to Figure 2 , this embodiment provides the application of artificial intelligence cloud computing for non-invasive production defect identification and information communication of finished products, combined with industrial cameras and equipped with a micro-processing unit MCU, after setting, this camera can be used to capture those finished products Through this camera setting, there is no need to connect semi-finished products ...

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Abstract

The invention discloses a method for carrying out non-invasive production defect identification and information communication on a finished product by applying artificial intelligence cloud computing. An industrial camera is combined, and a micro-processing unit MCU is configured. After the arrangement, the camera can be used for capturing graphic images of finished products; through camera arrangement, a semi-finished product or a completely produced finished product does not need to be connected to a set of test software and hardware; the conveying belt can automatically bring a column of semi-finished products or finished products needing to be detected to the camera; the camera can capture images of the articles very quickly and easily; the micro-processing unit MCU sends a camera image obtained by a finished product passing through the conveying belt to the cloud computing server through a network; and the data is analyzed by artificial intelligence machine learning software in the cloud server, and the data from the cloud server can be directly sent to sites of other suppliers and clients through the mobile Internet connection and is connected to the mobile device for viewing.

Description

technical field [0001] The invention relates to the field of electronic information technology, in particular to a non-intrusive production defect identification and information communication for finished products by using artificial intelligence cloud computing. Background technique [0002] Today's manufacturing plants produce a large number of different products. The designer or buyer of the product will require these manufacturing plants to complete a set of testing procedures. These testing procedures are usually carried out by operators in certain characteristic processes of the production line, and are generally arranged at the end of the production line. After the test is over, there will be a report to be filled out, those finished products that fail the test will be sorted out, and the qualified products that pass the test will be shipped to the buyer. At the same time, that test report is usually sent to the buyer together. [0003] Usually, the inspection prog...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08H04L12/24H04N7/18G06Q10/06
CPCG06Q10/0633G06Q10/0635H04L41/145H04L41/147H04L67/025H04L67/10H04L67/125H04N7/181
Inventor 伍学斌伍学聪杨小波丁萱
Owner 东莞德福得精密五金制品有限公司
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