Radar-based sensor for accurately detecting objects in 3D space. This sensor uses the latest in 60GHz FMCW radar technology to detect multiple objects simultaneously. The sensor measures the X, Y, and Z coordinates of objects as well as their instantaneous velocity. The sensor can see through materials such as plastic, glass, or drywall making it easy to conceal.

Key highlights

• 60GHz FMCW radar.
• Adjustable field of view.
• Easy setup and configuration of range, sensitivity.
• Two applications: Point Cloud detection and Object Tracking.
• Sensing functions are immune to wind, fog, steam, and temperature changes and resistant to rain and snow.
• ‘Scene calibration’ allows for background objects to be removed from the sensors view.
• USB or UART connection makes it easy to use on popular platforms.
• SDK and sample applications provided

Key applications

• Robots designed to work in a mapped environment which need to also detect moving obstacles (such as people) reliably.
• Agritech robots which need robust obstacle collision abilities, and can work under all lighting conditions.
• Collision avoidance.
• Automatic following. Have a robot auto-follow at a safe distance in a similar way to automatic cruise control.
• People detection where the quality of detections needs to be better than what a PIR sensor can achieve.
• Security Cameras which need a better solution that what PIR sensors can provide

Specification

Includes

• 1x RadarIQ-M1 Sensor
• 1x 0.5m serial cable
• 1x 0.5m USB cable

Features

• A range of up to 10m which is sufficient for most applications.
• 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 and radial 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.
• 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 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.

Controller Software download

More information

	Manual
	SDK Python C ROS 1 ROS 2
	Online documentation Python C Protocol Specification
	Forum
	Sample applications on GitHub
	3D Models
	Drivers Windows Driver (Only needed for Windows 7 and below)
	YouTube