Enhancing Road Safety Through Adaptive Headlight System for Two-Wheelers

undefined. Enhancing Road Safety Through Adaptive Headlight System for Two-Wheelers.

undefined. 2. Outline. INTRODUCTION PROBLEM STATEMENT OBJECTIVE OF PROJECT PROPOSED SYSTEM METHODOLOGY LEARNING’S FROM LED SYSTEM CONTROL FUTURE SCOPE CONCLUSION REFERENCES.

undefined. The term ‘adaptive’ indicates that the vehicle lighting should change in response to traffic and road conditions such as oncoming cars and road lighting. Two-wheelers have historically been equipped with relatively basic headlamps that provide a fixed beam of light. The present illumination systems for motor vehicles are static. The technological developments have made it possible to start designing a new generation of vehicle illumination systems..

Limited Visibility. Difficulty in Judging Speed. Potential for Surprise Encounters. Potholes & obstacles on roads..

Improved Visibility in Turns. Dynamic Beam Control. Enhanced Peripheral Lighting. Integration with Vehicle Systems..

The headlight has dedicated sections or compartments for the cornering LEDs. The headlight is integrated with Gyrosensor. It activates the cornering LEDs when the bike approaches a turning or blind corner. The Microcontroller is ATmega328P. The I2C communication protocol is used between master & slave. A prototype model..

7. Implemented Prototype Model. [image]. [image].

8. Flowchart. [image] Ignition ON High Beam ON If gyrok If Tues hold Right cornering LED ON Left CO"rring LED ON.

9. System Pin Configuration. Internal Connections.

X-axis is: Roll (Tilting left or right) Y-axis is: Pitch (Tilting forward or backward) Z-axis is: Yaw (Rotational movement around the vertical axis).

11. Methodology. Program Analysis. 1. Set the Threshold Angle.

12. Methodology. Program Analysis. 3. To Calculate Threshold..

Basics of Lighting – Structure of Headlamp & Different functions of headlamp. Hardware Aspects – Selection Criteria for Various Components. System Aspects – Adjustment impacts the overall behavior of the LED control system. Code Optimization – Identifying and eliminating potential sources of delays. Sensor Calibration – The importance of sensor calibration..

Matrix or Pixel LED Headlights. Glare-Free High Beams. Pixel Light Control. Smart Adaptive Beam Shaping..

The findings not only demonstrate the effectiveness of these systems in optimizing illumination based on environmental conditions but also underscore their potential to mitigate road accidents. The seamless integration of intelligent sensors, microcontrollers, and adaptive mechanisms not only enhances the driving experience but also sets the stage for further innovations in connected vehicle technologies and machine learning..

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