Cloud network realizes the method for rapid management and authentication of sudden attack work real name system

By combining cloud network with facial recognition and safety helmet chip verification, the problem of managing emergency workers on construction sites has been solved, achieving safe and efficient identity authentication and management, and improving the safety and accuracy of management on construction sites.

CN114943069BActive Publication Date: 2026-05-08CHINA CONSTRUCTION THIRD ENGINEERING BUREAU CHENGDU CONSTRUCTION INVESTMENT CO LTD +1
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Patent Information

Application Number
CN202210549768.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-05-17
Publication Date
2026-05-08
Estimated Expiration
2042-05-17

AI Technical Summary

Technical Problem

Existing technologies are insufficient for effectively managing on-site construction workers, resulting in high management pressure, high safety risks, and high worker turnover, making precise management difficult.

Method used

A cloud-based network is used to implement a rapid real-name management and authentication method for emergency workers. By combining facial recognition and safety helmet chips, identity verification and dual comparison are performed. Combined with body contour recognition and lighting environment adjustment, the accuracy and efficiency of identity authentication are improved.

Benefits of technology

It enables safe and effective certification of workers on construction sites, prevents unauthorized personnel from entering, improves the accuracy and safety of management, and protects workers' rights.

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Abstract

The application provides a cloud network implementation of a sudden worker real-name system fast management authentication method, including the following steps: S1, a worker enters an engineering site, obtains a worker type through a cloud network, and triggers an identity recognition operation for a sudden worker; S2, in the identity recognition operation process, a body contour of a plurality of sudden workers is collected through face recognition, and contrast is adjusted according to an external light environment; S3, a candidate frame of the obtained plurality of sudden workers is subjected to a filtering operation, an image operator is calculated, face and body contour recognition is performed according to a sudden worker correlation degree judgment result, and identity information collected by a safety helmet is subjected to double comparison.
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