A method for detecting defects in electronic die-cutting materials based on machine vision

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 ...