Gluing detection system and method based on deep learning

Abstract

The invention discloses a gluing detection system and method based on deep learning, and the method comprises the following steps: constructing an initial deep residual error network model which is ofa five-layer structure and comprises an input layer, a convolution layer, a residual error layer, a full connection layer and a joint loss function layer; inputting the training sample into the deepresidual network model for training to obtain a gluing detection model; obtaining an original gluing image, and carrying out the preprocessing to obtain a to-be-detected gluing image; and inputting the to-be-detected gluing image into the gluing detection model, obtaining a score of gluing image detection, and judging whether the to-be-detected gluing image is qualified or not according to the score. According to the invention, the gluing of the vehicle window in the gluing workshop is automatically detected by constructing the deep residual network model, the gluing quality can be quickly andaccurately judged, the detection result is uploaded in real time, the timely processing is facilitated, and the automation degree and the production efficiency of the gluing workshop are improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a deep learning-based glue detection system and method. Background technique [0002] The window glass is an important part of the entire body, and the window structure is usually a closed curved surface, and the window frame of the body and the window glass are connected with a sealant. The sealant acts as a seal and buffer to prevent the window glass from being damaged when the window frame is deformed by the force of the body. [0003] In modern industry, the gluing link, which is an important part of automobile production, is gradually completing the transition from manual gluing to robot gluing due to its harsh working environment, high work intensity, and high requirements for motion accuracy and stability. Gluing automation has gradually become a trend. [0004] Auto window glass coating refers to the robot carrying a glue gun to apply a complete circle of seala...

AI Technical Summary

Problems solved by technology

[0007] Aiming at the problem of low detection accuracy of glue breaking in car window gluing in the prior art, the present invention provides a gluing detection system and method based on deep learning. By constructing a deep residual network model based on deep learning, it is used for Identify and analyze the data of the gluing image, and extract the characteristic data of the gluing to output the detection score, so as to judge whether the gluing image has broken glue

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