mmWave radar can be applied in various industrial applications to improve safety and efficiency. Algorithms are used to cluster and track radar returns over time to identify the movement and activities of equipment and people. The radar information serves as actionable intelligence which can be used for decision-making. To create and tune decision-making algorithms, developers can capture radar data and video frames together to ensure the algorithm performs properly based on the conditions the system encounters. One way to capture data and implement prototypes is to connect radar sensors and a camera to a friendly platform such as the Raspberry Pi. Input data, video and decisions are synchronized so that each frame is matched to the field situation at that exact moment.

FEATURES

  • Improves safety and efficiency
  • Facilitates radar data and video capture
  • Saves synchronized radar and video frames for post-analysis
  • Permits rapid prototyping of detection, perception, classification and decision-making algorithms
  • Can be used as a basis to qualify systems

 

Solution Diagram

Download Solution Diagram

Video

APPLICATIONS

  • Building Automation
  • Occupancy Sensing
  • Gesture Control
  • Traffic Monitoring
  • Perimeter Surveillance
  • Industrial Automation
  • Robotics
  • Industrial Vehicles
  • Agricultural Vehicles
  • Autonomous Delivery Robots

TECHNICAL DOCUMENTS

TOOLS & SOFTWARE

Software

mmWave Software Development Kit (SDK)*

*Software included with purchase of mmWave Radar Sensor

GET STARTED ON THIS SOLUTION WITH D3

D3 Engineering’s Design Services include full-cycle embedded Product Development and ODM.            Download our Product Development Services brochure for more information. We also offer DesignCore® Platforms for purchase. DesignCore® Platforms are proven collections of hardware, software, applications, firmware, and testing that accelerate your time to market and lower your risk.

 

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