Real-time visitor tracking method and control system based on artificial intelligence

Through the real-time tracking method and control system of visitors based on artificial intelligence, the safety hazards of visitors who miss entering important areas are solved, and the refined management and efficient monitoring of visitors are achieved, which improves security prevention capabilities and access experience.

CN119721471AActive Publication Date: 2025-03-28GUANGDONG QINJING INFORMATION TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202411787388.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-06
Publication Date
2025-03-28
Estimated Expiration
2044-12-06

AI Technical Summary

Technical Problem

The existing technology mainly focuses on the review and registration of access control, and it is difficult to effectively prevent visitors from entering important areas during free activities, resulting in production safety hazards and adverse effects.

Method used

The real-time tracking method and control system of visitors based on artificial intelligence is adopted to obtain the visiting reasons and identity levels of visitors, divide the visiting locations, plan feasible access routes, and track them in real time through tag equipment, comprehensively analyze abnormal indicators for early warning feedback.

Benefits of technology

It realizes refined management and efficient monitoring of visitors, improves security prevention capabilities, provides visitors with a convenient and secure access experience, and provides strong support for management decisions, ensuring the security of the visiting area.

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Abstract

The invention discloses a visitor real-time tracking method and control system based on artificial intelligence, and relates to the technical field of personnel tracking management, and the method comprises the steps: obtaining a visiting reason and an identity level of a visitor, carrying out the regional division of a visiting place, including a target region, a key region and other regions, and carrying out the planning of a visiting route, obtaining each feasible access route; obtaining feature data of each feasible access route, analyzing the feature data to obtain a recommended value of each feasible access route, judging a current action route of the visitor, and processing to obtain a recommended value of the current action route; collecting label equipment state data of a visitor, and processing to obtain a label equipment state abnormity evaluation value; and monitoring the action state data of the visitor, processing to obtain an abnormal action evaluation value of the visitor, comprehensively analyzing to obtain an abnormal index of the visitor, and performing early warning feedback according to the abnormal index of the visitor.
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