Truck overload detection method based on radio frequency identification and target detection

Abstract

The invention discloses a truck overload detection method based on radio frequency identification and target detection. The method includes: during truck production, storing the weight limit information of the target vehicle in an RFID tag of the vehicle; a weight sensor is installed at a highway toll station. Acquiring a real-time video acquired by a toll station camera and carrying out video preprocessing; obtaining a target vehicle area according to a background subtraction method of the Gaussian mixture model; establishing acquired datasets, enriching a data set by adopting a data expansion strategy; then, the obtained target areas are classified by utilizing AlexNet; and finally, the RFID reader is used for reading the weight limiting information in the RFID tag of the truck and comparing the weight limiting information with the actual weight obtained by the weight sensor to detect whether the truck is overloaded or not, so that a worker can conveniently, effectively and conveniently control the truck to be overloaded, and unnecessary loss caused by overload is prevented.

Description

technical field [0001] The invention belongs to the field of radio frequency identification technology and computer vision technology, and in particular relates to a truck overload detection method based on radio frequency identification and target detection. Background technique [0002] In recent years, my country has ushered in the golden stage of highway development, especially the construction of the expressway viaduct and its network. The achievements are obvious to all, but many problems that follow cannot be ignored. "Expansion has led to the increasingly prominent phenomenon of freight overloading. Overloading not only causes serious damage to roads and bridges, but also disrupts the normal order of the road freight market and may cause serious traffic accidents. On the expressway section, the occurrence of freight overloading is particularly frequent. The main body causing the above major impacts is basically the truck, so the overload detection of the truck should...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the problem that the overload detection of trucks is not timely on roads with restricted overloading such as expressways and elevated roads, the purpose of the present invention is to provide a real-time, convenient, low-cost and fast method for detecting overloaded trucks, which creatively combines The target detection and classification technology in computer vision technology uses radio frequency identification, that is, the security of information stored in RFID tags, as well as the convenience and readability of the tags themselves, and then uses target detection and classification in computer vision to identify trucks and vehicles. To detect whether the truck is overloaded

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