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Electronic die cutting material defect detecting implementation method based on machine vision

A defect detection and machine vision technology, applied in the direction of optical testing defects/defects, instruments, measuring devices, etc., can solve the problems of easy misjudgment, downtime, low first inspection efficiency, etc., to improve production efficiency and save production costs , high precision effect

Active Publication Date: 2017-05-31
HANGZHOU BYTE INFORMATION TECH CO LTD
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AI Technical Summary

Problems solved by technology

At present, the general situation of manufacturing plants: the efficiency of the first inspection is not high, and the shutdown is waiting; the production process requires continuous inspection, which is prone to misjudgment

Method used

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Experimental program
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Embodiment Construction

[0029] The main implementation content of this program is to develop and design a set of intelligent size detection and defect detection equipment that can monitor and inspect the appearance, size, and shape of electronic die-cut products in real time. Its main functions and performance requirements are as follows:

[0030] 1. If the appearance size is out of tolerance, you can alarm for the prompt and mark a certain size out of tolerance;

[0031] 2. Poor appearance (the product has dirt, waste, defects) alarm and mark the specific location;

[0032] 3. If the shape is bad (the product has a multi-layer structure, one layer is short of material, and there is more material) alarm and prompt;

[0033] 4. The size of the product does not exceed 10 inches, and the thickness can be increased. It is fixed on the device with a bracket, and the touch screen is colorful.

[0034] The monitoring range is controlled to detect the product size, and the product size is 1MM*1MM-400MM*500M...

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Abstract

The invention discloses an electronic die cutting material defect detecting implementation method based on machine vision. The method comprises the following steps of (a) loading a detection template; (b) transferring a detection object; (c) monitoring through a sensor; (d) capturing an image; (e) identifying an object; (f) processing the image; (g) carrying out binarization processing; (h) carrying out data statistics and detection analysis. The method adopts a non-contact optical sensor system, and adopts a machine to replace human eyes to measure and judge, a system utilizes a CCD (Charge Coupled Device) camera for capturing the image of an objective measuring object, and information such as pixel distribution, brightness and color of the image of the objective measuring object is converted into digital image signals; a project control system operates the signals to extract the characteristics of the measuring object; finally, field equipment is controlled to act according to tolerance and other condition output results so as to meet the core demands on on-line detection of product defects and dimension measurement, so that the measurement precision, the measurement speed, and the reliability under an industrial site environment can be ensured.

Description

technical field [0001] The invention relates to a method for realizing defect detection of electronic die cutting material based on machine vision. Background technique [0002] With the subversive development of industrial Internet, sensor technology and new generation of information technology, the world's major manufacturing powers are competing to launch their smart manufacturing or industrial Internet strategies, representative ones are: the United States' advanced manufacturing strategy; Germany's Industry 4.0 ; Made in China 2025. Through technologies such as the Internet of Things, the Internet, big data, cloud computing, and broadband networks, and through access to sensors, information perception, network communication, remote control, and collaboration of physical equipment are realized, and industrial data flow interaction and hardware / software interaction are realized. Intelligent communication and security control. With the in-depth development of automation ...

Claims

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Application Information

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IPC IPC(8): G01N21/88
CPCG01N21/8851G01N2021/8887
Inventor 毛伟信
Owner HANGZHOU BYTE INFORMATION TECH CO LTD
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