DRWIG RC

DRWIG RC uses camera along with radar for better object detection. Fusion of camera and radar makes the system more capable and reduces chances of error as it makes system more precise and gives better awareness of surrounding than DRWIG One.

DRWIG RC:

• Fusion of radar and camera makes it suitable for all weather even adverse weather conditions like rain, fog and mist.
• Key enabler for advanced safety features and autonomous driving in ADAS systems.
• Sensor fusion combines strengths of different sensors.
• Improves accuracy, reliability, and robustness of object detection and tracking.
• Enhances vehicle and driver safety.

Perks

• Fused sensor: Integrates radar (object detection, ranging) and camera (vision, recognition) technologies.
• Enhanced perception: Improves environmental understanding for autonomous vehicles and robots.
• Comprehensive and robust system: Enables safe and efficient navigation in diverse situations.
• Proportion:
  - Combines Data: Integrates radar and camera to enhance environment perception in vehicles.
  - Improves Detection: More accurate and reliable obstacle, pedestrian, and critical element detection.
  - Enhances Safety: Benefits ADAS and autonomous driving, boosting road safety and navigation.

 Features:

• Detect Objects with Distance, Location and Relative Speed
• Affordable and high Fidelity with Edge AI and ML
• All Weather Sensor with high precision
• Works on Adverse Environments like Fog and Dust storms
• Detection Range of 120m
• Benefits of DRWIG RC:
• Compensating for Sensor Limitations
• Cameras (30 FPS) offer high resolution (1920 x 1080) but struggle with lighting.
• Radar works in varied conditions but lacks detail.
• Sensor fusion combines data for a complete, accurate view.
• Improving Object Detection and Tracking
• Fusion of radar and camera data enhances object detection and tracking.
• Enables reliable collision avoidance, blind spot detection, and lane change assist.
• Reduces false or missed detections with consistent tracking.
• Compensating for Sensor Limitations
• Cameras (30 FPS) offer high resolution (1920 x 1080) but struggle with lighting.
• Radar works in varied conditions but lacks detail.
• Sensor fusion combines data for a complete, accurate view.
• Improving Object Detection and Tracking
• Fusion of radar and camera data enhances object detection and tracking.
• Enables reliable collision avoidance, blind spot detection, and lane change assist.
• Reduces false or missed detections with consistent tracking.