mmWave Radar
mmWave Sensor Evaluation Solution
Batman BM301-FDS mmWave EVM Kit
mmWave Fall Detection Sensing (FDS)
mmWave Radar

mmWave Solution bridges Hardware & Software World together with Simplicity
Joybien Batman BM301-FDS 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 BM301-FDS 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 People Motion Detection
- Building Automation sensor for Occupancy Detection, Proximity & Position sensing, People Counting, Security and Surveillance

Fall Detection Sensing (FDS)
The Kit’s mmWave Module is built-in with Fall Detection Sensing Firmware; when positioned in the center of a room’s ceiling, the mmWave Module is capable of detecting People’s 3-dimensional movement from -3 meter ~ +3 meter on one direction, and -3 meter ~ + 3meter 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.
Batman BM301 EVM Kit + NVIDIA Jetson Nano / Raspberry Pi
Batman BM301-FDS EVM Kit + NVIDIA Jetson Nano
Batman BM301-FDS EVM Kit + Raspberry Pi
Selection:Key Data Mode or Raw Data Mode Application
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Features
Operating Frequency |
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Antenna |
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Processors |
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On-Chip Memory |
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•Internal Memories |
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•Input Power |
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Batman BM301-FDS EVM Kit includes
Specifications mmWave Sensor Evaluation Module

mmWave ASIC |
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FMCW Transceiver |
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Built-in Calibration and Self-Test (Monitoring) |
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DSP |
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On-Chip Memory |
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MCU |
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I/O |
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Power Management |
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Clock Source |
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Antenna Orientation |
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Input Power |
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Operating Temperature |
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Dimensions & Weight |
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Raspberry Pi-Hat Board /Jetson Nano carrier board

Connector |
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Bluetooth (optional) |
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Micro USB Input Power |
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Operating Temperature |
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Dimensions & Weight |
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Python SDK
Python SDK |
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(BM201-DRN) |
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Appendix: Joybien mmWave EVM Kit Application Solution Selection
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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.
- "Python" is a registered trademark of the PSF.
- This EVM Kit does not include Raspberry Pi computer, nor NVIDIA Jetson Nano computer.