mmWave Solution bridges Hardware & Software World together with Simplicity

Joybien Batman BM201 mmWave EVM Kit is a Texas Instruments (TI) IWR6843 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 BM201 mmWave EVM Kit is with a small and compact mmWave Module (with low-power, self-monitored, ultra-accurate, and lighting condition independent versatilities), along with 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


Traffic Monitoring Detection (TMD)

For detecting moving objects (such as vehicles) in 5m ~ 50m with FOV of approx. +/- 54 degrees with Position X&Y, Velocity X&Y info. And based on the detected data, a programmer may write a program to define virtual Zones, for mapping objects (vehicles) moving in and out of certain Zones for traffic monitoring applications.



Features

Operating Frequency
  • 60GHz to 64GHz Coverage
    with 4GHz continuous bandwidth
Antenna
  • 3 Tx and 4 Rx Antennas on Module, with:
    TX Power: 12 dBm
    RX Noise Figure: 12 dB
    Phase Noise at 1 MHz: –93 dBc/Hz
    • Processors
  • ARM R4F based MCU and C674x DSP
    for advanced signal processing
    • On-Chip Memory
    • 1.75MB
    Internal Memories
    • ECC
    Input Power
    • 5Vdc, 2.1A


    Specifications mmWave Sensor Evaluation Module

    mmWave ASIC
    • TI IWR6843 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: 12 dBm
    • RX Noise Figure: 12 dB
    • Phase Noise at 1 MHz: –93 dBc/Hz
    • Antenna Type : ISK Antenna
    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
    • Up to 6 ADC Channels (low sample rate monitoring)
    • Up to 2 SPI Ports
    • Up to 2 UARTs
    • I2C – GPIOs
    Power Management
    • Built-in LDO Network for Enhanced PSRR
    • I/Os Support Dual Voltage 3.3 V/1.8 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
    • 3.3VDC, 1.5A source
    Operating Temperature
    & Humidity
    • 0° to 40° degree Celsius
    • 10 ~ 85% Non-Condensing
    Dimensions & Weight
    • 67mm x 46mm x 2mm ; 15 grams net

     

    Raspberry Pi-Hat Board /Jetson Nano carrier board

    Connector
    • Matching mmWave Module Female Connector
    • Matching Raspberry Pi GPIO Female Connector
    • Micro USB Power Connector
    • Jumpers for Bluetooth Tx/Rx or Raspberry Pi Tx/Rx Selection
    • Jumper for mmWave Raw Data or Key Data Selection


    Bluetooth (optional)

  • Joybien JBT24M Bluetooth Low Energy Module
    • Micro USB Input Power
  • 5VDC, 2.1Amp.
    (Note: Power Adapter and Micro USB Cable NOT included)
    • Operating Temperature
    Operating Humidity
    • 0° to 40° degree Celsius
    • 10 ~ 85% Non-Condensing
    Dimensions & Weight
    • 65.3mm x 56.3mm
      • 23 grams

    Appendix: Joybien mmWave EVM Kit Application Solution Selection

    (BM201-VOD)
    Zone Occupancy Detection
    		For plotting a Range-Azimuth-Heatmap with a 64 x 48 Grid Matrix covering: Range of 3 meter / 64 row (approx. 0.047 meter per row) x Azimuth of 108 degree / 48 column (approx. 2.3 degree /column). Subsequently a programmer may write code to group the Grid(s) into Zone(s) for detecting whether the particular Zone(s) is occupied by Target(s); suitable for vehicle occupancy detection or for occupancy detection for an area of around 3 meter x 3 meter.

    (BM201-LPD)
    Long-Range People Detection

    		For a contactless and wearableless Long-Range People Detection (LPD) of 1 meter ~ 50 meters (about 3 ~ 164 feet), for various applications that require people sensing or counting without privacy invasion.
    (BM201-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.
    (BM201-TMD)
    Traffic Monitoring Detection
    		For detecting moving objects (such as vehicles) in 5m ~ 50m with FOV of approx. +/- 54 degrees with Position X&Y, Velocity X&Y info. And based on the detected data, a programmer may write a program to define virtual Zones, for mapping objects (vehicles) moving in and out of certain Zones for traffic monitoring applications.
    (BM201-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.
    (BM201-HAM)
    High Accuracy Measurement
    		For a wireless High Accuracy Measurement (HAM) of an object distance with range of 30cm ~ 3 meters (about 1~10 feet), having millimeter measurement resolution.

    (BM201-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.