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
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.
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 |
|
| Internal Memories |
|
| Input Power |
|
|
Batman BM201-TMD EVM Kit includes
Specifications mmWave Sensor Evaluation Module
| mmWave ASIC |
- TI IWR6843 Single Chip mmWave Sensor
|
|
- 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 |
|
| 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 |
|
| Antenna Orientation |
- 4 receive(RX) 3 transmit (TX) antenna with 108° azimuth field of view (FoV)
and 44° elevation FoV
|
| Input Power |
|
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
|
|
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 |
|
|
Python SDK (Python SDK upon request)
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. |
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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 BM201 commercial application for mass production.
