Key Features
- Integrated onboard antennas with a field of view of 80° x 34°, optimized for 57 to 61 GHz to simplify CE and FCC certification
- Detailed 3D point cloud generation of both static and moving targets, accessible through UART interface
- Compact 20 x 25 mm size, SMT-solderable or connectable via 10-pin FFC, powered by 1.8V single supply with 1.8V or 3.3V IO supply options
- Calibration-free setup – preprogrammed, pre-calibrated, and tested for instant deployment
- Fully compatible with TI’s low-power SDK, allowing for further development flexibility
- Utilize the pre-programmed firmware functionality or begin developing custom applications
The V-LD3-RFB sensor module is based on the innovative low-power IWRL6432 chipset from Texas Instruments and is perfectly suited for human detection and multi-object tracking applications up to 20 meters.
The V-LD3-RFB is fully compatible with Texas Instruments’ latest low-power SDK and comes preprogrammed with TI’s innovative human presence detection demo, including a human/non-human classifier. It features optimized onboard antennas and is pre-calibrated and tested, further simplifying its use.
RFbeam leverages its extensive expertise to help customers bring certified radar solutions to market, offering support with certification and radome design.
Additionally, RFbeam provides an evaluation kit offering full access to all pins, including SPI RAW data capture, JTAG connector, and CAN interface. The kit is based on an interface PCB, onto which the V-LD3 is mounted using spring-loaded contacts. Simply connect a USB-C cable to your host and start evaluating the extensive features of Texas Instruments’ IWRL6432 chipset for your end product.
Availability:
Engineering samples -> Q1/2025
Mass production -> Q2/2025
Application notes
Certificates
| Ordering number | State | Description |
| V-LD3-RFB-00A-01 | Preview | Standard V-LD3 sensor module with default TI firmware |
| V-LD3-EVAL-RFB-00H | Preview | Standard V-LD3 evaluation kit |
Related Products
Applications
Counting and classification
Elderly care
Obstacle avoidance
Object tracking
Periphery surveillance
Person detection
Position detection
Smart city
Vital sign
Water level and speed measurement
Gesture control
Velocity measurement
Street lighting
Intrusion
Perimeter protection
Room surveillance
Speed measurement
Touchless switch
Inductive loop replacement
Internet of things
Gesture recognition
Gesture detection
