Precise checking method and system based on multi-dimensional green channel portrait

By constructing a multi-dimensional green channel profile and a multi-layered fusion inspection decision model, the problems of low efficiency and high false negative rate in the green channel vehicle inspection system have been solved, realizing an intelligent and adaptive inspection strategy, and improving the recognition accuracy and passage efficiency.

CN122155919APending Publication Date: 2026-06-05HENAN COMMUNICATIONS INVESTMENT GROUP CO LTD ANYANG BRANCH
0 Cites 0 Cited by

Patent Information

Application Number
CN202610247226.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-02
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

The existing green channel vehicle inspection system relies on manual visual inspection, which is inefficient, highly subjective, and difficult to identify complex and ever-changing transportation scenarios and violations. In addition, the system has weak coordination capabilities, resulting in a high rate of missed inspections and repeated inspections, making it difficult to balance traffic efficiency and regulatory accuracy.

Method used

A multi-dimensional green channel profile is constructed. Through multi-source data collection and preprocessing, a four-dimensional green channel profile feature vector is generated. A multi-layer fusion inspection decision model is used to perform cross-dimensional attention interaction, dynamically calculate risk scores, and optimize the model through online incremental learning to realize a hierarchical inspection strategy.

Benefits of technology

It has improved the accuracy of identifying toll evasion, reduced reliance on manual labor, enhanced inspection efficiency and regulatory precision, realized an intelligent and adaptive inspection mechanism, and strengthened the fairness and credibility of the implementation of the green channel policy.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to the technical field of computers, discloses an accurate checking method and system based on a multi-dimensional green channel portrait, and aims to solve the problems that in existing green channel vehicle checking, efficiency is low, manual dependence is high, fee evasion recognition is inaccurate, and passing experience and supervision are difficult to consider at the same time. The method comprises the following steps: acquiring multi-source data such as vehicle static information, cargo images, travel paths, historical records and environmental perception; after structured cleaning and alignment, a green channel portrait covering four-dimensional characteristics of vehicles, goods, journeys and behaviors is constructed; and inputting a pre-trained multi-layer fusion check decision model, outputting risk scores and check grade suggestions, and performing check exemption, image re-check or box opening check strategies in a linkage manner. Through a cross-dimensional attention mechanism and online incremental learning, high-precision, self-adaptive and intelligent checking is realized, and the efficiency and fairness are remarkably improved.
Need to check novelty before this filing date? Find Prior Art