Radar Algorithm Optimization Using a Field Capture System
Key DocumentDownload Radar Algorithm Validation Using the DesignCore RS-1843A mmWave Radar Sensor Evaluation Kit Application Note
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Radar Algorithm Development
mmWave radar can be applied in various 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.
- 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
- Building Automation
- Occupancy Sensing
- Gesture Control
- Traffic Monitoring
- Perimeter Surveillance
- Industrial Automation
- Industrial Vehicles
- Agricultural Vehicles
- Autonomous Delivery Robots
Tools & Software
mmWave Software Development Kit (SDK)*
*Software included with purchase of mmWave Radar Sensor
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