作者：
Nandhini, T.J.Thinakaran, K.
Saveetha School of Engineering Department of Computer Science and Engineering Chennai India
Object detection algorithms must first identify all the objects inside an image before machine vision can properly categorize and localize them. Many methods have been proposed to handle this problem, with most of the...
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Speech impairment, a debility that affects an individual's capacity to communicate via talking and hearing. Therefore, sign language is essential for facilitating communication with individuals who are deaf and mu...
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At present, artificial intelligence and Internet of Things technology has developed very rapidly, and the use of various types of robots and robotic arms has been rapidly popularized. In this case, the market has grad...
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ISBN:
(纸本)9798350310801
At present, artificial intelligence and Internet of Things technology has developed very rapidly, and the use of various types of robots and robotic arms has been rapidly popularized. In this case, the market has gradually put forward new requirements for the motion control and visual recognition ability of robots. Based on this current situation, this paper designs a multi-type common object recognition system based on YOLOv5 neural network model, and optimizes the recognition process of the neural network model based on the dynamic mask method for practical application scenarios. The recognition accuracy of the system is improved. The system designed in this paper includes software process design, hardware architecture design and test platform UI design. The tests show that the recognition system designed in this paper requires small hardware computing power, is easy to build, and the recognition accuracy and recognition speed can meet the actual application requirements. At the same time, the test platform can be optimized for different scenarios, which can lay a certain foundation for the subsequent system optimization and other researches.
The use of computervision to realize non-contact face mask wearing testing and identify the standardization of wearing can improve the efficiency of mask wearing inspection, which is of great significance to reduce t...
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The Peer-to-peer (P2P) lending platform allows borrowers to connect directly with lenders outside traditional banking systems. Therefore, for the sustainability of these platforms, they must accurately assess the cred...
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During the era of rapid development in the field of computervision, camera sensors have been applied to a variety of scenarios, able to capture states and movement changes of objects, and even observe nuances in the ...
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Advances in deep learning techniques have made computervision tasks more accurate and faster by relying on convolutional neural networks and more powerful hardware. In industry, automatic inspection supported by thes...
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In a world that is always changing due to population growth, it is difficult to forecast how routes will behave in the future, especially with regard to traffic. In this work, Traci was used to generate traffic-relate...
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Vaccinations can prevent the propagation of infectious diseases very effectively. In this paper, we consider the effects of vaccines on the spread of infectious diseases, compute the analytical expressions of the dise...
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In this paper, we propose a new method for image encryption based on a modified RC4 stream cipher algorithm that scrambles image pixels before applying the XOR encryption function. We compare the performance of the pr...
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