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Truck type and axle type identification method and system

A recognition method and truck technology, applied in character and pattern recognition, neural learning methods, biological neural network models, etc., to achieve the effects of high recognition rate, high complexity and diversity of samples, and high efficiency

Active Publication Date: 2020-06-23
吉林省吉高智慧交通科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above technical problems, the present invention provides a truck model and axle type recognition method and system, through the application of deep learning in target classification and recognition, to solve the problem of using images or videos to identify truck models and axle types, which is more intuitive Structure the appearance feature data of the truck

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  • Truck type and axle type identification method and system
  • Truck type and axle type identification method and system
  • Truck type and axle type identification method and system

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Embodiment Construction

[0043] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0044] Such as figure 1 As shown, a truck type and axle type identification method includes the following steps:

[0045] S1 collects the original image and marks the position and vehicle model of each truck tire contained in the image, and uses the source image and annotation information as a training sample set. The specific process is as follows:

[0046] (a) According to statistics, there are about 2,000 types of common vehicle types, and the number of samples for each type is about 1,000 or more. It is difficult to collect samples of uncommon types of vehicles, and the balance of samples is achieved through data enhancement;

[0047] (b) Obtain the coordinates of th...

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Abstract

The invention relates to the technical field of road vehicle monitoring, in particular to a truck model and axle type recognition method and system, and aims to solve the problem of recognizing truckmodels and axle types by using images or videos through application of deep learning in target classification and recognition, and visually structurize appearance feature data of trucks. The method comprises the following steps: S1, collecting side and front images or videos of an original vehicle; s2, after detecting and positioning the position of a vehicle, inputting the position into the trained deep learning model to position and identify the truck axle; s3, calculating parameters such as the axle number, the axle distance and the tire number of the vehicle according to the vehicle axle number and the position detected by the vehicle side image; and S4, carrying out vehicle type identification and classification according to the front image of the vehicle.

Description

technical field [0001] The invention relates to the technical field of road vehicle monitoring, in particular to a truck type and axle type identification method and system. Background technique [0002] As we all know, with the withdrawal of the main toll station at the provincial boundary of the expressway, the development of ETC national networking and non-inductive payment has become increasingly important for the identification of vehicles. Unattended toll booths bring new challenges to management: ETC vehicles cheat by using models; ETC vehicles cheat by changing their own cards; export colludes to cheat by using models; [0003] The fight against dodging fees has increasingly relied on technical means. Compare the identity information of vehicles at the entrance and exit to ensure the unique identity of passing vehicles, which can accurately combat the problem of unattended evasion fees. The vehicle's feature recognition results are compared with the ETC transaction...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08G06K9/62
CPCG06N3/084G06V20/10G06V20/40G06V2201/08G06N3/044G06N3/045G06F18/24
Inventor 张雷姜天一刘中华张齐鹏
Owner 吉林省吉高智慧交通科技有限公司