BM502-FDS

mmWave Fall Detection Sensing (FDS)

mmWave Sensor Evaluation Solution

mmWave Radar

mmWave Solution bridges Hardware & Software World together with Simplicity

Joybien Batman BM502 mmWave EVM Kit is a Texas Instruments (TI) IWR6843AOP ASIC based millimeter-wave (mmWave) Kit with Frequency-Modulated Continuous Wave (FMCW) radar technology capable of operation in the 60GHz to 64GHz band with up to 4 GHz continuous chirp, using 3 Transmission Antennas and 4 Receiving Antennas, for sensing target object’s range, velocity, and angle parameters.

Batman BM502 mmWave EVM Kit consists of an extremely light and compact mmWave Module (with approx. 1/3 of the size of the previous Batman series mmWave Module; along with low-power, self-monitored, ultra-accurate, and lighting condition independent versatilities), a Module Carrier Board that brings user experience and hardware integration flexibilities, and a Pi-Hat-Board for simple and direct connectivity to a Raspberry Pi or NVIDIA Jetson Nano computer; suitable for various applications including: Education, Engineering, Science, Industrial, Medical, and Business & Consumer.


Applications

  • Education’s Practical Radar Introduction
  • Engineering & Science’s Motion Detection, Displacement, etc.
  • Industrial sensor for Displacement & Safe Guard, Factory Automation, Robotics, etc.
  • Building Automation sensor for Occupancy Detection, Proximity & Position sensing, People Counting, People Density, Security and Surveillance,
  • Healthcare’s Vital Signs Detection, People Fall Detection, etc.
  • Business’ Traffic Monitoring, and Proximity Advertisement
  • Consumer’s Gesture Recognition, Obstacle Avoidance, etc.

Fall Detection Sensing (FDS)

For wireless sensing of people-fall-detection along with people movement & tracking in 3-Dimensional region covering 6m x 6m area without privacy invasion. The sensed people behavior data are with Position X/Y/Z, Velocity X/Y/Z, and Acceleration X/Y/Z parameters suitable for people movement analysis such as standing, sitting, lying down or falling down positions.




Batman BM502 EVM Kit + NVIDIA Jetson Nano / Raspberry Pi

Batman BM502 EVM Kit + NVIDIA Jetson Nano


Batman BM502 EVM Kit + Raspberry Pi




Selection:Key Data Mode or Raw Data Mode Application

 



Features


Operating Frequency
  • 60GHz to 64GHz Coverage
    with 4GHz continuous bandwidth
Antenna
  • 4 receive(RX) 3 transmit (TX) antenna with 120° azimuth field of view (FoV) and 120° elevation FoV
  • Processors
  • ARM R4F Microcontroller for Object Detection, and Interface Control
  • On-Chip Memory
    • 1.75MB
    Internal Memories
    • ECC
    Input Power
    • 5VDC, 1.5A

    Batman BM502 EVM Kit includes


    Specifications mmWave Sensor Evaluation Module

    mmWave ASIC
    • TI IWR6843AOP Single Chip mmWave Sensor


    FMCW Transceiver

    • Integrated PLL, Transmitter, Receiver, Baseband, and A2D
    • 60GHz to 64GHz Coverage With 4GHz Continuous Bandwidth
    • Four Receive Channels
    • Three Transmit Channels
    • Ultra-Accurate Chirp Engine Based on Fractional-N PLL
    • TX Power: 15 dBm
    • RX Noise Figure: 9 dB
    • Phase Noise at 1 MHz: –92 dBc/Hz
    • Antenna Type : Antenna On Package(AOP)
    Built-in Calibration and Self-Test (Monitoring)
  • ARM® Cortex® -R4F-Based Radio Control System
  • Built-in Firmware (ROM)
  • Self-calibrating System Across Frequency and Temperature
  • DSP
    • C674x DSP for Advanced Signal Processing
    On-Chip Memory
    • 1.75MB
    MCU
    • ARM R4F Microcontroller for Object Detection, and Interface Control
    • Joybien mmWave Protocol (Per configuration)
    I/O
    • UART x 2
    • GPIO x 2(GPIO_31,GPIO_32)
    • I2C x 1
    Power Management
    • Built-in LDO Network for Enhanced PSRR
    • I/Os Support Dual Voltage 3.3 V
    Clock Source
    • 40MHz
    Antenna Orientation
    • 4 receive(RX) 3 transmit (TX) antenna with 108° azimuth field of view (FoV) and 44° elevation FoV
    Input Power
    • 5VDC, 1.5A source
    Operating Temperature
    & Humidity
    • 0° to 40° degree Celsius
    • 10 ~ 85% Non-Condensing
    Dimensions & Weight
    • 37mm x 16mm x 2.4mm ; 3 grams net

     

    Raspberry Pi-Hat Board /Jetson Nano carrier board

    Connector
    • Matching mmWave Module Female Connector
    • Matching Raspberry Pi GPIO Female Connector
    Operating Temperature
    Operating Humidity
  • 0° to 40° degree Celsius
  • 10 ~ 85% Non-Condensing
  • Dimensions & Weight
  • 65mm x 30mm x 19mm
  • 21 grams

  • Python SDK (Python SDK upon request)


    (BM502-FDS)
    Fall Detection Sensing
    https://github.com/bigheadG/mmWave/tree/master/PCT_FDS


    (BM502-PCT)
    People Counting Tilt-Sensing
    https://github.com/bigheadG/mmWave/tree/master/PCT_FDS


    (BM502-VSD)
    Vital Signs Detection
    https://github.com/bigheadG/mmWave/tree/master/VSD


    (BM502-POS)
    People-Counting Overhead Sensor

    https://github.com/bigheadG/mmWave/tree/master/POS

    (BM502-PC3)
    People Counting & Detection
    https://github.com/bigheadG/mmWave/tree/master/PC3

     

     


    Appendix: Joybien mmWave EVM Kit Application Solution Selection


    (BM502-FDS)
    Fall Detection Sensing
    For wireless sensing of people-fall-detection along with people movement & tracking in 3-Dimensional region covering 6m x 6m area without privacy invasion. The sensed people behavior data are with Position X/Y/Z, Velocity X/Y/Z, and Acceleration X/Y/Z parameters suitable for people movement analysis such as standing, sitting, lying down or falling down positions.

    (BM502-PCT)
    People Counting Tilt-Sensing
    For mmWave wireless People Counting Tilt-Sensing in 4.5 x 4.5m x 3m region, for various applications that require people sensing, people fall detection, people counting, or people occupancy density estimation without privacy invasion.

    (BM502-VSD)
    Vital Signs Detection
    For a contactless and wearableless human Vital Signs Detection (VSD) with real-time Heartbeat Rate & Respiration Rate data, for range of 30cm ~ 90cm (about 1~3 feet); along with Status Indicator for sensing the presence of a person, as well as the measurement stability, and whether the person is present but without Vital Signs.


    (BM502-POS)
    People-Counting Overhead Sensor

    BM502-POS People-Counting Overhead Sensor mmWave EVM Kit operating along with a MacBook Pro running Python Code, that detects People movements in approx. 6m x 6m x 3m region with Tracking Data shown on screen.

    (BM502-PC3)
    People Counting & Detection
    For a wireless People Counting & Detection in 6 x 6 meter or 36 square meter area (or about 387.5 square feet), for various applications that require people sensing, people counting, or people occupancy density estimation without privacy invasion.

     

    Copyright ©2024 , Joybien Technologies Co., Ltd.
    Joybien reserves the right to make changes without further notice to and products herein. Joybien makes no warranty, representation or guarantee regarding the suitability of its products for any particular purpose, nor does Joybien assume any liability arising out of the application or use of any product or circuit. Joybien’s products are not to be used in life support devices or systems, if a failure of an Joybien's product can reasonably be expected to cause the failure of that life support device or system, or to affect the safety or effectiveness of that device or system.


    Note:
    • NVIDIA logo, and Jetson Nano are trademarks and/or registered trademarks of NVIDIA Corporation.ducation’s Practical Radar Introduction
    • Raspberry Pi logo and Raspberry Pi 4 are trademarks and/or registered trademarks of Raspberry Pi Foundation.
    • "Python" is a registered trademark of the PSF.
    • This EVM Kit does not include Raspberry Pi computer, nor NVIDIA Jetson Nano computer.
    • Please contact us at Joybien in advance for BM502 commercial application for mass production.