mmWave Radar
mmWave Sensor Evaluation Solution
Batman BM101-SRR mmWave EVM Kit
mmWave Short Range Radar (SRR)

 

 

mmWave Radar
mmWave Short Range Radar








mmWave Solution bridges Hardware & Software World together with Simplicity

Joybien Batman BM101 mmWave EVM kit is a compact, low power, high accuracy, and simple-to-use Millimeter-Wave (mmWave) Sensor Hardware & Software integrated evaluation kit suitable for various applications including: Education, Engineering, Science, Automotive, Industrial, Medical, and Business & Consumer applications.

 



Batman BM101 EVM Kit package includes

  • A Small & Compact application dedicated mmWave Sensor Module based on Texas Instruments (TI) IWR1642 76GHz~81GHz mmWave ASIC , with pin-connection for UART communication.
  • A Raspberry Pi-Hat Board with optional JBT24M Bluetooth Module (included for the backers of this Indiegogo Campaign!); and that this Hat Board can also work independently of a Raspberry Pi Computer for connecting the mmWave Sensor Module to other MCU based Hardware Board such as an Arduino Board, etc.
  • A Python SDK on GitHub available for developing software on Raspberry Pi and other computers, which is a perfect companion for AI + IoT Integration Implementation


Batman BM101 mmWave EVM Kit is for

  • Technologically inclined engineering professors & students, scientists, electronics hardware & software engineers, automotive engineers and technologists, electronics hobbyists, etc.
  • For a Novice, the user may follow the included sample App via Bluetooth wireless connectivity to iPhone/iPad to gain mmWave Sensor’s practical experience.
  • For an Intermediate User, the user may apply the Batman Kit for the Target Application by connecting the Kit to a Raspberry Pi computer, and designing Python software based on the included SDK.
  • For an Advanced User, the user may utilize Batman Kit as mmWave Sensor End Device for AI+IoT application with Deep Learning


Flavors of mmWave BM101

Note: each of the Batman Kit comes with ONLY ONE mmWave Sensor Module of the dedicated application flavor.

(BM101-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.

(BM101-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.

(BM101-PMB)
People Movement Behavior

  • For a wireless People Movement Behavior (PMB) detection in 4 x 4 meter or 16 meter square area (or about 172 square feet); and with software that could set virtual geo-fence(s) to trigger alert or action when People are moving into the geo-fence(s).

(BM101-SRR)
Short Range Radar

  • For Short Range Radar (SRR) detection of human in 1 meter ~ 20 meters (about 3 ~ 66 feet), or detection of vehicle in 1 meter ~ 50 meters (about 3 ~ 164 feet), along with viewing angle of 120 degrees; along with Doppler Data to distinguish for whether the objects are moving-towards or moving-away from the mmWave sensor.

(BM101-ZOD)
Zone Occupancy Detection

  • For plotting a Range-Azimuth-Heatmap with a 64 x48 Grid Matrix covering: Range of 3meter/64row (approx. 0.047meter per row) x Azimuth of 120degree/48column (approx. 2.5degree/column). Subsequently a programmer may write a program to group the Grid(s) into Zone(s) for detecting whether the particular Zone(s) is occupied by Target(s).




Vital Signs Detection

 



People Movement Behavior

 


High Accuracy Measurement

 

mmWave Short Range Radar (SRR)



Specifications


Specifications mmWave Sensor Evaluation Module

FMCW Transceiver

  • Integrated PLL, Transmitter, Receiver, Baseband, and A2D
  • 76- to 81-GHz Coverage With 4-GHz Continuous Bandwidth
  • Four Receive Channels
  • Two Transmit Channels
  • Ultra-Accurate Chirp (Timing) Engine Based on Fractional-N PLL
  • TX Power: 12.5 dBm
  • RX Noise Figure:
  • 14 dB (76 to 77 GHz)
    15 dB (77 to 81 GHz)

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 FMCW Signal Processing

MCU

  • ARM Cortex-R4F Microcontroller for Application Control

I/O

  • SPI / CAN x 1
  • Up to 2 UARTs
  • I 2C x 1
  • GPIO: 0 ~ 2

Antenna

  • Tx Antenna x 2 on Board
  • Rx Antenna x 4 on Board

Pre-Programmed Firmware “Flavor”

  • Vital Signs Detection (VSD) Firmware; for 30cm ~ 90cm wireless & contactless detection of Heartbeat & Respiration Rate
  • High Accuracy Measurement (HAM) Firmware; for 30cm ~ 300cm distance measurement with millimeter resolution
  • People Movement Behavior (PMB) Firmware; for detecting People Movement in 4m x 4m or 16 meter-square region for setting geo-fence(s) trigger action
  • Short Range Radar (SRR) Firmware; for detecting objects’ distance with the range of 20meters ~ 50meters (about 66 ~ 164 feet) and with viewing angle of 120 degrees, along with Doppler Data to distinguish for whether the objects are moving-towards or moving-away from the mmWave sensor.
  • Zone Occupancy Detection (ZOD) Firmware; for plotting a Range-Azimuth-Heatmap with a 64 x48 Grid Matrix covering: Range of 3meter/64row (approx. 0.047meter per row) x Azimuth of 120degree/48column (approx. 2.5degree/column). Subsequently a programmer may write a program to group the Grid(s) into Zone(s) for detecting whether the particular Zone(s) is occupied by Target(s).
Note: ONLY one of VSD, HAM, or PMB Firmware is pre-programmed within a single mmWave Module

Operating Temperature
Operating Humidity

  • 0° to 40° degree Celsius
  • 10 ~ 85% Non-Condensing

Dimensions & Weight

  • 54.1mm x 45.7mm; 13.7 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, 2Amp.
    (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
  • 30 grams with JBT24M Bluetooth

 

 

Python SDK


Python SDK

  • Available on GitHub
    Note: Please refer to README.md file first for proper configuration
  • https://github.com/bigheadG/mmWave

(BM101-VSD)
Vital Signs Detection

(BM101-HAM)
High Accuracy Measurement

(BM101-PMB)
People Movement Behavior

(BM101-HAM)
High Accuracy Measurement

(BM101-SRR)
Short Range Radar

(BM101-ZOD)
Zone Occupancy Detection

(BM201-LPD)
Long-Range People Detection

(BM201-PC3)
People Counting & Detection

(BM201-TMD)
Traffic Monitoring Detection

(BM201-VSD)
Vital Signs Detection

(BM201-HAM)
High Accuracy Measurement

(BM201-DRN)
Drone Radar Navigation

(BM301-FDS)
Fall Detection Sensing


Appendix: Joybien mmWave EVM Kit Application Solution Selection

(BM101-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.

(BM101-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.

(BM101-PMB)
People Movement Behavior

  • For a wireless People Movement Behavior (PMB) detection in 4 x 4 meter or 16 meter square area (or about 172 square feet); and with software that could set virtual geo-fence(s) to trigger alert or action when People are moving into the geo-fence(s).

(BM101-SRR)
Short Range Radar

  • For Short Range Radar (SRR) detection of human in 1 meter ~ 20 meters (about 3 ~ 66 feet), or detection of vehicle in 1 meter ~ 50 meters (about 3 ~ 164 feet), along with viewing angle of 120 degrees; along with Doppler Data to distinguish for whether the objects are moving-towards or moving-away from the mmWave sensor.

(BM101-ZOD)
Zone Occupancy Detection

  • For plotting a Range-Azimuth-Heatmap with a 64 x48 Grid Matrix covering: Range of 3meter/64row (approx. 0.047meter per row) x Azimuth of 120degree/48column (approx. 2.5degree/column). Subsequently a programmer may write a program to group the Grid(s) into Zone(s) for detecting whether the particular Zone(s) is occupied by Target(s).

(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.

(BM301-FDS)
Fall Detection Sensing

  • For the wireless detection of People in 3-Dimensional movement from -3 meter ~ +3 meter on one direction, and -3 meter ~ + 3 meter on the perpendicular/orthogonal direction, and +3 meter from ceiling to ground, all with the respect to the mmWave Sensor positioned in the center of the ceiling; and thus, the Sensor is capable to detect and track people movement along with standing, sitting, lying down positions


Copyright ©2021 , 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.
  • Apple logo, iPhone, iPad, and iOS are trademarks and/or registered trademarks of Apple Inc.
  • "Python" is a registered trademark of the PSF.
  • This EVM Kit does not include Raspberry Pi computer, nor NVIDIA Jetson Nano computer.
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    ‧ Introduction
       mmWAVE SENSOR EVALUATION SOLUTION

    ‧mmWave Short Range Radar(SRR)

     ‧QIG

    ‧Batman Kit Installation Quick Guide
    mmWave Sensor Evaluation Solution

     

     ‧FAQ

     

    ‧ Python SDK (Github)

     

    ‧ Datasheet (EN)