A method for detecting the size of die-cut products

Abstract

The invention discloses a method for detecting the size of a die-cut product, which comprises the steps of: (1) initializing the detection element parameters and detection index parameters of the die-cut product to be detected; (2) obtaining an image containing a calibration sheet, and calculating Calibration matrix; (3) Acquire the image of the die-cut product to be detected, and calculate the threshold segmentation result map of the die-cut product image, and locate the die-cut product according to the threshold segmentation result map; (4) According to the positioning result and initialization of the die-cut product (5) Calculate and output the detection index according to the fitted detection element and the initialized detection index parameters. Realize the online efficient and accurate detection of die-cut product size, while maintaining a high detection speed, control the extremely low rate of defective missed detection and false detection rate.

Description

technical field [0001] The invention belongs to the fields of image signal processing and machine vision, and particularly relates to a method for detecting size defects of die-cutting products. Background technique [0002] Die-cut parts refer to product parts formed by cutting raw materials, which were initially mainly used in the printing industry. In recent years, with the rapid development of the consumer electronics industry, die-cut parts have been widely used in electronic products, such as electronic product casings, display screens, and equipment modules. [0003] The processing technology of die-cut parts in electronic products is complex. During processing, due to the combination of different tools, the cutting accuracy of the die-cutting machine, the tension of various materials in the composite product itself, and the external environment, it often causes die-cutting. The use of defective die-cut parts often leads to the failure of the entire electronic produc...

AI Technical Summary

Problems solved by technology

This method mainly has the following disadvantages: (1) Off-line sampling detection leads to a low product inspection rate, which is prone to missed inspections; (2) The labor cost is high, and additional damage is easily introduced during the measurement process, and the detection results are easily affected by human subjective experience and (3) Human eyes are prone to fatigue, and the detection efficiency is low, which cannot support mass production requirements; (4) The detection data is not easy to save, and does not support retrospective analysis of historical data

However, looking at the field of die-cut defect detection, there is no mature and targeted solution for automatic detection of die-cut defects at home and abroad, especially the automatic high-precision detection method that can determine size defects is still in a blank state

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