mmWave Fall Detection Sensing (FDS)

mmWave Sensor Evaluation Solution


mmWave Radar

mmWave Solution bridges Hardware & Software World together with Simplicity

Joybien Batman BM501 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 BM501 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.


    • 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 BM501 EVM Kit + NVIDIA Jetson Nano / Raspberry Pi

    Batman BM501 EVM Kit + NVIDIA Jetson Nano

    Batman BM501 EVM Kit + Raspberry Pi

    Selection:Key Data Mode or Raw Data Mode Application



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

    Batman BM501 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
    • ARM R4F Microcontroller for Object Detection, and Interface Control
    • Joybien mmWave Protocol (Per configuration)
    • 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

    • Matching mmWave Module Female Connector
    • Matching Raspberry Pi GPIO Female Connector
    • Micro USB Power Connector (Power only)
    • Jumpers for Bluetooth Tx/Rx or Raspberry Pi Tx/Rx Selection

    Bluetooth (optional)

    • Joybien JBT24M Bluetooth Low Energy Module
    Micro USB Input Power
    • 5VDC, 1.5Amp.
      (Note: Power Adapter and Micro USB Cable NOT included)
    Operating Temperature
    Operating Humidity
    • 0° to 40° degree Celsius
    • 10 ~ 85% Non-Condensing
    Dimensions & Weight
    • 60mm x 39mm
    • 21 grams

    Python SDK (Python SDK upon request)

    Vital Signs Detection

    People-Counting Overhead Sensor

    People Counting & Detection


    Appendix: Joybien mmWave EVM Kit Application Solution Selection

    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.

    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.

    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.

    • 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.