The use of artificial neural networks for the analysis of X-ray images of containers and vehicles
Abstract
The use of artificial neural networks for the analysis of X-ray images of containers and vehicles makes it possible to improve the accuracy and speed of recognition, which in turn increases the efficiency of customs control and contributes to faster and more reliable cargo control. These technologies also help reduce the risks associated with smuggling and terrorist threats. The use of artificial neural networks in this area also helps to reduce the human factor and minimize errors when processing large amounts of data. In addition, it saves time and resources for customs authorities and increases the level of security and control at the border. Thus, the development and application of artificial neural networks in the recognition of X-ray images of containers and vehicles is an important step towards improving the customs service and ensuring transportation safety.References
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