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

A technology of robot vision and target detection, applied in the field of image processing

Inactive Publication Date: 2019-05-21
NORTH CHINA UNIV OF WATER RESOURCES & ELECTRIC POWER
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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 g

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

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[0043] In order to make the purpose, technical solution and advantages of the present invention more clear and understandable, the present invention will be further described in detail below in conjunction with the accompanying drawings and technical solutions.

[0044] In the current image processing technology, supervised learning is used for data set training, and the early data set labeling and production will cost a lot of manpower and material resources; using unsupervised learning alone will easily cause problems such as inconvenient application to target detection and overfitting. For this reason, embodiment of the present invention, see figure 1 As shown, a target detection method for parallel robot vision system is provided, including the following content:

[0045] S101. Collect target images, and divide the collected target images into training data sets and test data sets;

[0046] S102. Building a hybrid autoencoder, sending the images in the training data set t...

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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...

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Application Information

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IPC IPC(8): G06T7/11G06T7/254G06T5/00G06K9/62G06N3/08
Inventor 王丽君温梦艳王欣欣高冠阳孔祥瑞谷宇希
Owner NORTH CHINA UNIV OF WATER RESOURCES & ELECTRIC POWER
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