Neural Network Architecture
Specialized combination of MobileNet and SSD mode.
Ensures efficient computation and real-time object detection.
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Real-time Sign Detection
Immediate identification and recognition of diverse road signs.
Proactive driver alerts for enhanced situational awareness. -
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Sensor Fusion Synergy
4K Ultra HD cameras with a wide-angle lens.
High-resolution LiDAR for precise depth perception.
Ultrasonic sensor with accurate measurements and weather resistance. -
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Real-time Responsiveness
CAN for in-vehicle communication with ECUs.
Robust data packet transmission (125 kbit/s to 1 Mbit/s).
High-speed Ethernet for fast and large data transfers
Resilience aganist electrical interference.
APPLICATIONS
Safety Enhancement
Swift notifications to drivers for adherence to traffic regulations.
Real-time identification of road signs promotes safe navigation.
Proactive Driver Assistance
Alerts and situational awareness features assist drivers in real-time.
Ensures drivers are promptly informed about detected road signs.
High-Performance Sensors
4K cameras, LiDAR, and Ultrasonic sensors provide comprehensive coverage.
Precise depth perception and object detection contribute to system accuracy.
Efficient Communication
CAN and Ethernet facilitate seamless communication within the vehicle.
Robust data transmission and resistance to interference ensure system reliability.
DRIVEN BY DATA
The graph demonstrates excellent model performance with high predicted probabilities, showcasing robust accuracy and confidence in predictions for both training and testing datasets
The learning curve, plotted against relative training set size, illustrates the model's score (performance metric) in relation to the increasing number of training samples, highlighting the model's improvement and efficiency as it learns from a growing dataset