A personnel identity searching and trajectory tracing positioning system based on a digital twin scene

The digital twin scenario-based personnel identification and trajectory tracing system solves the problem of associating trajectory points with three-dimensional space in smart parks, enabling rapid identification of personnel and improving the accuracy and efficiency of trajectory tracing.

CN122286013APending Publication Date: 2026-06-26XIANGXING TECH ENG (GUANGDONG) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XIANGXING TECH ENG (GUANGDONG) CO LTD
Filing Date
2026-04-03
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing technologies struggle to effectively correlate personnel trajectory points with actual three-dimensional spatial structures in smart parks, making it difficult for managers to intuitively understand personnel movement paths and behavioral intentions, thus affecting the efficiency of management decisions.

Method used

The system for identifying and tracing the source of people in a digital twin scenario generates a sequence of trajectory nodes using comparison, acquisition, generation, and mapping modules. This sequence is then visualized in the digital twin model. Combined with spatial structure analysis and location calibration mechanisms, trajectory deviations are corrected.

Benefits of technology

It enables rapid identification of personnel and accurate and complete trajectory tracing, reduces the risk of misjudgment in identity recognition, and improves the efficiency and reliability of trajectory analysis.

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Abstract

This invention provides a personnel identification and trajectory tracing system based on a digital twin scenario, belonging to the field of digital twin technology. It includes: a comparison module for processing input retrieval information to obtain the facial image data to be queried, and comparing it with pre-stored facial feature templates in a personnel database using a facial retrieval model to generate a candidate list; an acquisition module for acquiring keyframes of the face and associated timestamps and location information based on the identity information in the candidate list; and a generation module for performing face comparison between the facial image data to be queried and the keyframes to generate a standardized time-series dataset including trajectory nodes and a capture record association index. This invention achieves trajectory tracing and dynamic positioning, improving the efficiency of personnel identification and trajectory tracking.
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