In recent years, the number of people counting systems in deployment has been increasing significantly. People counting systems can be used to automate the data collection for advertisement, and revenue projections as well as reduce energy costs using adaptive HVAC operations. However, a naive implementation of people counting systems may result in revealing some unintended information about the users/customers and higher power consumption from operating the systems continuously. In this paper, we study a mmWave Multiple Input Multiple Output (MIMO) radar sensor system for detecting the number of people in a confined space with the aims of low power consumption and minimal leakage of user information. In particular, we showed that a 3D convolutional neural network can accurately determine up to 4 people in a typical size room using a surprisingly minimal number of mmWave signatures ( less than 10 ) as its inputs.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    People Counting System Using MmWave MIMO Radar with 3D Convolutional Neural Network


    Contributors:


    Publication date :

    2023-06-01


    Size :

    2312513 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    mmWave massive MIMO vehicular communications

    Cheng, Xiang / Gao, Shijian / Yang, Liuqing | TIBKAT | 2023


    Antenna Array and Waveform Design for 4-D-Imaging mmWave MIMO Radar Sensors

    Karimian-Sichani, Nazila / Alaee-Kerahroodi, Mohammad / Mysore Rama Rao, Bhavani Shankar et al. | IEEE | 2024


    Nondestructive Evaluation of Terrain Using mmWave Radar Imaging

    Li, Bing / Brand, Howard | SAE Technical Papers | 2021


    Nondestructive Evaluation of Terrain Using mmWave Radar Imaging

    Brand, Howard / Li, Bing | British Library Conference Proceedings | 2021


    A mmWave Automotive Joint Radar-Communications System

    Dokhanchi, Sayed Hossein / Mysore, Bhavani Shankar / Mishra, Kumar Vijay et al. | IEEE | 2019