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Easy to use radar sensor for Robotics & Radar Vision.
Off-the-shelf and ready to use!

What problems does radar vision solve?

Making robotic vision more robust

Camera-based vision is really-powerful but tracking objects with cameras is difficult and cameras don't work under all conditions. Pairing a camera-based system with Radar makes the vision system much more robust. Radar works under all lighting and environmental conditions. Use Radar and sensor fusion to add confluence to camera-based object detections and augment the data with velocity information.

Tracking the movement of objects

Radar can track the moment of objects in 3D space, radar can easily filter out static objects allowing just the object of interest to be detected and its movement in the x and y dimensions easily tracked.

Measuring objects velocity

Radar is one of the few sensing technologies that can accurately measure the speed of an object. This can be achieved using the instantaneous doppler velocity (velocity towards or away from the sensor) or by tracking the displacement of an object to determine the velocity in the x and y dimensions.

Smart presence detection

Knowing when there is someone or something in a specific location is a basic, but important sensing capability. Presence detection can be used in surveillance applications to know when there is unexpected movement in an area, smart facilities management to know when people are in particular areas of building, or in safety applications to enable/disable equipment when there are people or obstacles which are in close proximity.

How does radar vision work?

Radar works by sending out pulses of high-frequency radio waves into the environment. These waves bounce off objects and the reflections are received back by the radar sensor where the data is then processed. This allows multiple objects to be detected simultaneously as well as the objects position in 3D space and the objects velocity to be calculated.

As an example, radar is used to modern cars for automatic cruise control, and collision avoidance.

RadarIQ sensor uses the 60GHz radio band to provide much higher resolution data than traditional 24GHz radar systems.

What does Radar data look like?

The RadarIQ sensor has two modes of output. Data can either be outputted as a point-cloud or as a tracked object.

In Point Cloud mode, detections are made every 40mm If there is an object in that position, it shows up as a dot on the output. Each dot has x,y,z and velocity information associated with it.

In Object Tracking mode, the points are clustered into single "objects" which are then tracked.


Radar type: FMCW
Communications Protocol: UART
Radome: Flat
Beam Pattern: 110 degrees Azimuth and 15 degrees Elevation
Field of View: Software adjustable up to 110 degrees
Dimensions: 55mm x 55mm x 10mm
Connector: USB micro to USB-A and USB micro to fly lead
Voltage: 3.8-5V
Current: 380 - 500mA
Frame Rate: 0-20 fps
Distance Range: 40mm – 10,000mm
Radial Velocity Range Range: 0-3m/s
Radial Velocity Resolution: 0.4m/s
Distance Resolution: 40mm
Enclosure Style: Cylindrical 50mm
Mounting: 50mm thread
Certification: CE, FCC Pending
Supported SDK languages: C/C++, Python, API documentation available for integration with other languages
Supported Platforms:

  • Windows
  • MacOS
  • Linux
  • ROS 1 & 2
  • Arduino
  • Raspberry Pi


  • A distance range of up to 10m.
  • A 110-degree field of view in the azimuth direction and 15-degree field of view in the elevation direction which is amongst the widest field of view of any FMCW product on the market.
  • An adjustable field of view (FOV) which means the sensor can be configured to focus on just the area of interest.
  • Adjustable distance and height filters allow the sensor to be tuned to just the area of interest.
  • Instantaneous doppler velocity is available. Radar is one of the few technologies that can accurately measure velocity.
  • The small 40mm dead zone is much smaller than for most other types of sensor such as ultrasonics.
  • The scene calibrate feature allows data to be effortlessly cleaned up to remove any interferences from enclosures and other nearby equipment.
  • Inherent robustness allows the sensor to continue to work where other sensors struggle/fail such as harsh lighting conditions.
  • Sensor Fusion. Works great combined with traditional vision sensors (cameras) to provide confluence of detections where a high-degree of certainty is needed. Being robust to environmental conditions means the sensor continues to work where traditional vision systems fail.
  • The free Controller application is available for Windows, Linux, and MacOS allowing an easy way to visualize the RadarIQ data.
  • The build-in sensitivity filter allows the sensor to easily be tuned using just one knob, saving much post-processing of data.
  • The ‘remove static objects’ filter allows the sensor to focus just on movement and to ignore anything in the background.
  • The point density filter applies an aggregation filter to allow the sensor to produce higher quality results.
  • Raw point cloud data can be exported for custom analysis.
  • The see-through-walls-ability allows the sensor to be concealed which is great from a security perspective and also allows seeing through enclosures, making it possible to hide the sensor from view without affecting performance.
  • Easy to use and is designed to allow to beginners to get started with the sensor in 15 min or less without needing to learn the complexities of radar mathematics.

Software, Drivers & Resources

More Information

If you are not sure if the RadarIQ-M1 sensor is right for your application or are looking for a radar sensor for a specific application, contact us at

For bulk purchases, we are able to provide bulk pricing.