A target detection method and device for a parallel robot vision system

Abstract

The invention belongs to the technical field of image processing, and particularly relates to a target detection method and device for a parallel robot vision system, and the method comprises the steps: collecting a target image, and dividing the target image into a training data set and a test data set; building a hybrid automatic encoder, feeding images in the training data set into the hybrid automatic encoder in batches for denoising and sparse processing, and obtaining image data with classification labels; Sending the image data into a Faster RCNN neural network to carry out model training; Sending the test data set image data into a trained Faster RCNN neural network to carry out model test; And embedding the tested Faster RCNN neural network model into a parallel robot vision system, and carrying out target identification and positioning on the to-be-detected image. According to the method, the model anti-interference capability and robustness are improved, the data set training difficulty is reduced, the model training speed and quality are improved, the neural network is easy to reuse for different to-be-identified targets, and the method has important guiding significance for the technical field of image processing and target identification.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a target detection method and device for a parallel robot vision system. Background technique [0002] In recent years, machine vision has developed rapidly. Machine vision will be more and more used in industry, life, transportation, aerospace, entertainment, construction and other industry scenarios, becoming the eyes of artificial intelligence. Therefore, faster and more accurate machine vision will be In the future development trend, at the technical level, faster and more accurate deep learning will be the focus of future research. Optimizing machine vision by reducing the difficulty of model training and increasing the speed of model training and recognition will be the development trend of machine vision. In machine vision, target detection technology is used in various industrial production, transportation and other fields, playing an indispensable ro...

AI Technical Summary

Problems solved by technology

[0003] Therefore, the present invention provides a target detection method and device for a parallel robot vision system, which reduces the difficulty of data set production, improves the model generalization ability, further solves the problem of target object detection with similar colors and occlusion defects, and improves the running speed and target recognition positioning accuracy

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