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.

People-Counting Overhead Sensor (POS)

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.

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.

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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.