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
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.
