Personnel perception quantity counting method and system based on millimeter wave radar

By adopting signal processing methods based on artificial intelligence and deep learning in millimeter wave radar systems, millimeter wave radar detects echo signals, extracts signal frequency domain distribution characteristics and performs cluster analysis, the problem of strong parameter dependence in the existing technology is solved, and more intelligent and reliable personnel perception count statistics are achieved.

CN119397198BActive Publication Date: 2025-03-28BEIJING ZHONGCHENG KANGFU TECH CO LTD
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Patent Information

Application Number
CN202411975422.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-31
Publication Date
2025-03-28
Estimated Expiration
2044-12-31

AI Technical Summary

Technical Problem

In the existing FPGA-based millimeter-wave radar indoor personnel statistics and counting methods, point trace classification and condensation algorithms rely on specific parameter settings, and target discrimination processing depends on set distance and speed threshold values, which can easily lead to false alarms or missed alarms.

Method used

A method of personnel perception quantity statistics based on millimeter wave radar is adopted to detect echo signals by acquiring and processing millimeter wave radar, using fast Fourier transform and data processing algorithms based on artificial intelligence and deep learning, the signal frequency domain distribution characteristics are extracted, and the total number of personnel statistics is determined through the feature significance engine and cluster analysis of the feature distribution gradient.

Benefits of technology

Reliance on specific parameter settings is reduced, the system's robustness and reliability is improved, and more intelligent personnel-perceived counting is achieved.

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Abstract

The present application discloses a method and system for counting the number of people sensed based on millimeter wave radar, and relates to the field of millimeter wave radar signal processing technology. The method comprises: using a millimeter wave radar to receive a detection echo signal, and performing ADC sampling on the detection echo signal to convert it into a digital signal, and then processing it using a fast Fourier transform to obtain a frequency domain distribution matrix of the millimeter wave echo sampling points. Then, a data processing and analysis algorithm based on artificial intelligence and deep learning is used to analyze the frequency domain distribution matrix of the millimeter wave echo sampling points, and a cluster analysis is performed based on the frequency domain distribution characteristics of the key signal, so as to use the number of cluster centers in the cluster analysis results as the total number of people counted. The present application uses a data processing algorithm based on artificial intelligence and deep learning, which can reduce the dependence on specific parameter settings and improve the robustness and reliability of the system.
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Citation Information

Patent Citations

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  • Subject fall detection method and device, millimeter wave radar, and storage medium

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