The Visual Recognition Of Image Patterns - sounds
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The browser version you are using is not recommended for this site. Please consider upgrading to the latest version of your browser by clicking one of the following links. By signing in, you agree to our Terms of Service. Forgot your username or password? Create a new account. Michal Lukac, co-founder and machine learning engineer at Ximilar, joins host Jake Smith to talk about how the artificial intelligence AI startup uses Intel Xeon Scalable processors and the Intel OpenVINO toolkit to increase performance and lower latency for the company's computer vision platform.The purpose is to solve the problems of large positioning errors, low recognition speed, and low object recognition accuracy in industrial robot detection in a 5G environment.
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The convolutional neural network CNN model in the deep learning DL algorithm is adopted for image convolution, pooling, and target classification, optimizing the industrial robot visual recognition system in the improved method. With the bottled objects as the targets, the improved Fast-RCNN target detection model's algorithm is verified; with the small-size bottled objects in a complex environment as the targets, the improved VGG classification network on the Hyper-Column scheme is verified.
Finally, Th algorithm constructed by the simulation analysis is compared with other advanced CNN algorithms. The results show that both the Fast RCN algorithm and the improved VGG classification network based on the Hyper-Column scheme can position and recognize the targets with a recognition accuracy rate of Therefore, the improved VGG read more network based on the Hyper-Column scheme has good accuracy and effectiveness for target recognition and positioning, providing an experimental reference for industrial robots' application and development.
In the early s, the United States was the first country in the world to manufacture industrial robots. After that, industrial robot technology and its products developed rapidly.
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At present, industrial robots have provided productivity tools for automation in various industries Li et al. At the same time, the growing use of artificial intelligence technology in industrial robots that have been widely used has dramatically changed the way people produce and live.
An industrial robot is a machine that automatically performs industrial production tasks. It can accept commands, perform corresponding functions according to programming procedures, or operate according to the principles of artificial intelligence technology. Its main applications include plundering, assembly, acquisition, placement, product inspection, and testing.
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The basis for realizing the above functions is the industrial robot vision system, which realizes the visual function of the robot through a computer, enabling the robot to recognize the Imae world. Therefore, the vision system plays an important role in improving the performance of industrial robots. Industrial robot vision systems are used for target detection and task identification.
Image feature extraction technology is the basis of machine vision. The new generation of wireless communication technology not only means faster transmission speed but also better security performance for industrial robots Bogue, ]
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