Expressway license plate image recognition encryption algorithm system fused with multi-sensor data

Through multi-sensor data fusion and generation of adversarial network repair license plate images, combined with GPU parallel processing and encryption technology, the problems of low recognition accuracy and high misjudgment rate of traditional license plate recognition systems in complex environments are solved, and high accuracy and safe license plate recognition are achieved.

CN120340010AActive Publication Date: 2025-07-18山东路网智能科技有限公司
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Patent Information

Application Number
CN202510409335.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-02
Publication Date
2025-07-18
Estimated Expiration
2045-04-02

AI Technical Summary

Technical Problem

Traditional license plate recognition systems have low recognition accuracy in complex environments, diversified license plate styles increase the misjudgment rate, and multi-sensor data interference makes it difficult to distinguish vehicles, especially when highway traffic flow is large.

Method used

Multi-sensor data fusion technology is adopted to obtain multi-dimensional information through high-definition cameras, millimeter-wave radars, GPS, etc., combine the generation of adversarial network to repair fuzzy license plate images, build a license plate style database, use GPU cluster parallel processing and feature fusion, dynamically select the recognition sub-model, use SM4 algorithm to encrypt and verify the license plate through the DTLS protocol.

Benefits of technology

It improves the accuracy of fuzzy and dirty license plate recognition, reduces the rate of misjudgment, and ensures the accuracy and safety of license plate recognition in complex environments and high flow scenarios.

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Abstract

The invention relates to the technical field of computer vision and mode recognition, in particular to a highway license plate image recognition encryption algorithm system fusing multi-sensor data. Comprising a data acquisition unit, a data fusion unit, a license plate recognition unit, an encryption unit and a cloud decision unit. Wherein the data acquisition unit is used for acquiring multi-dimensional information of images, speed and position of a vehicle and weather of a surrounding environment through various sensors; and the data fusion unit is used for carrying out parallelization processing on the attention mechanism and the feature fusion process based on a GPU cluster, and developing a multi-vehicle data separation algorithm based on vehicle trajectory prediction and space occupation analysis. A generative adversarial network is introduced, a large number of clear license plate images and corresponding fuzzy and stained license plate images are used as training data, a license plate pattern database is established, special recognition sub-models are trained for license plates of different regions and types, and a proper sub-model is automatically selected for recognition according to initial features of the license plates in the recognition process. And the misjudgment rate is reduced.
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Citation Information

Patent Citations

  • License plate recognition method based on adaptive fuzzy restoration mechanism

    CN109543753A

  • License plate recognition method, device and equipment and storage medium

    CN112651417A

  • License plate positioning and recognition method in complex environment

    CN114092926A

  • Character non-segmentation mode license plate recognition method based on deep learning fusion network

    CN116524480A

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