mmWave Radar

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

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, Security and Surveillance
Business’ Traffic Monitoring, and Proximity Advertisement

Vital Signs Detection (BM201-VSD)

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.

Batman BM201 EVM Kit + NVIDIA Jetson Nano / Raspberry Pi

Batman BM201 EVM Kit + NVIDIA Jetson Nano

Batman BM201 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	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

Batman BM201 EVM Kit includes

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, 2.1A 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

Python SDK (Python SDK upon request)

Python SDK	Available on GitHub Note: Please refer to README.md file first for proper configuration https://github.com/bigheadG/mmWave
(BM201-VSD) Vital Signs Detection	https://github.com/bigheadG/mmWave/tree/master/VSD
(BM201-PC3) People Counting & Detection	https://github.com/bigheadG/mmWave/tree/master/PC3
(BM201-FDS) Fall Detection Sensing	https://github.com/bigheadG/mmWave/blob/master/LPD/lpd_v24_2d_pyqtgraph_xyz_100m.py https://github.com/bigheadG/mmWave/blob/master/LPD/lpd_v24_2d_pyqtgraph_xy_100m.py
(BM201-HAM) High Accuracy Measurement	https://github.com/bigheadG/mmWave/tree/master/HAM
(BM201-LPD) Long-Range People Detection	https://github.com/bigheadG/mmWave/tree/master/LPD
(BM201-TMD) Traffic Monitoring Detection	https://github.com/bigheadG/mmWave/tree/master/TMD
(BM201-VOD) Vehicle Occupancy Detection	https://github.com/bigheadG/mmWave/tree/master/VOD

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.

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 BM201 commercial application for mass production.