mmWave Solution bridges Hardware & Software World together with Simplicity
Joybien Batman BM601 mmWave EVM Kit is a Texas Instruments (TI) IWR1843 ASIC based millimeter-wave (mmWave) Kit with Frequency-Modulated Continuous Wave (FMCW) radar technology capable of operation in the 76GHz to 81GHz 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 BM601 mmWave EVM Kit is an extremely light and compact mmWave Module with low-power, self-monitored, ultra-accurate, and lighting condition independent versatilities 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 BM601 EVM Kit + NVIDIA Jetson Nano / Raspberry Pi
Batman BM601 EVM Kit + NVIDIA Jetson Nano
Batman BM601 EVM Kit + Raspberry Pi
Selection：Key Data Mode or Raw Data Mode Application
Features
| Operating Frequency |
- 76GHz to 81GHz Coverage
with 4GHz continuous bandwidth
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| Antenna |
3 Tx and 4 Rx with:
TX Power: 12 dBm
RX Noise Figure: 14 dB(76GHz ~ 77GHz) / 15 dB(77GHz ~ 81GHz)
Phase noise at 1MHz:–95 (76GHz ~ 77GHz) / –93 (77GHz ~ 81GHz)
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| Processors |
ARM R4F based MCU, and C674x DSP
for FMCW signal processing
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| On-Chip Memory |
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| Internal Memories |
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| Input Power |
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Batman BM601-TMD EVM Kit includes
Specifications mmWave Sensor Evaluation Module
| mmWave ASIC |
- TI IWR6843 Single Chip mmWave Sensor
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- Integrated PLL, Transmitter, Receiver, Baseband, and A2D
- 76GHz to 81GHz 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: 14 dB(76GHz ~ 77GHz) / 15 dB(77GHz ~ 81GHz)
- Phase Noise at 1 MHz: –95 (76GHz ~ 77GHz) / –93 (77GHz ~ 81GHz)
- Antenna Type : ISK Antenna
- Max real sampling rate: 25 Msps
- Max complex sampling rate :12.5 Msps
|
| 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
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| DSP |
- C674x DSP for Advanced Signal Processing
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| On-Chip Memory |
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| MCU |
- ARM R4F Microcontroller for Object Detection, and Interface Control
- Joybien mmWave Protocol (Per configuration)
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| I/O |
- UART x 2
- GPIO x 2(GPIO_31,GPIO_32)
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| Power Management |
- Built-in LDO Network for Enhanced PSRR
- I/Os Support Dual Voltage 3.3 V
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| Clock Source |
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| Antenna Orientation |
- 4 receive(RX) 3 transmit (TX) antenna with 120° azimuth field of view (FoV)
and 40° elevation FoV
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| Input Power |
|
Operating Temperature
& Humidity |
- 0° to 40° degree Celsius
- 10 ~ 85% Non-Condensing
|
| Dimensions & Weight |
- 70.2mm x 45.6mm x 9mm ; 16 grams net
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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
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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
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| Dimensions & Weight |
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Python SDK (Python SDK upon request)
Appendix: Joybien mmWave EVM Kit Application Solution Selection
(BM601-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. |
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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 BM601 commercial application for mass production.
