Abstract
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. 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-16 classification network on the Hyper-Column scheme is verified. Finally, the 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-16 classification network based on the Hyper-Column scheme can position and recognize the targets with a recognition accuracy rate of 82.34%, significantly better than other advanced neural network algorithms. Therefore, the improved VGG-16 classification 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.
Highlights
In the early 1960s, the United States was the first country in the world to manufacture industrial robots
To verify the correctness of the target recognition algorithm, in terms of the experimental method, the design adopts the method of pushing the input image, and the system performs the recognition and detection to verify whether the system can identify the target in the system
The experimental results show that the Fast R-convolutional neural network (CNN) algorithm can accurately detect bottled objects under the experimental environment, and the distribution of detection rate and the error rate is
Summary
In the early 1960s, the United States was the first country in the world to manufacture industrial robots. Industrial robot technology and its products developed rapidly. 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. The ability of industrial robots to perform these functions relies on accurate detection and identification of targets (Dönmez et al, 2017; Fernandes et al, 2017; Song et al, 2017; Zhang et al, 2017). The vision system plays an important role in improving the performance of industrial
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