dc.contributor.author |
Amanya, Moses |
|
dc.date.accessioned |
2024-07-14T14:31:54Z |
|
dc.date.available |
2024-07-14T14:31:54Z |
|
dc.date.issued |
2024 |
|
dc.identifier.citation |
Amanya, M. (2024). Design and implementation of a multi-brightness intensity vehicle headlight management system. Busitema University. Unpublished dissertation |
en_US |
dc.identifier.uri |
https://doi.org/10.60682/tvd1-5p53 |
|
dc.description |
Dissertation |
en_US |
dc.description.abstract |
This project introduces a novel approach to enhancing the intelligence of car headlights by implementing a multi-brightness intensity level framework. The system autonomously adjusts the headlights based on ambient light conditions and the presence of other vehicle headlights.
Operating on seven intensity levels, from parking to full brightness, the system dynamically adapts to diverse lighting conditions, optimizing visibility and minimizing glare. The integration of hardware tools including the Arduino Uno Controller, light-dependent resistors (LDR), LED panel, and BJT driver collectively contributes to the system's ability to improve visibility and reduce glare. Additionally, the utilization of Arduino software and the implementation of the PWM algorithm enable the development of an intelligent headlight system that effectively responds to varied lighting scenarios. As a result, this approach enhances road safety and driving comfort by effectively addressing the complexities associated with diverse lighting conditions. |
en_US |
dc.description.sponsorship |
Mr. Andrew Rwendeire ; Busitema University. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Busitema University |
en_US |
dc.subject |
Car headlights |
en_US |
dc.subject |
Vehicle headlight management |
en_US |
dc.subject |
Multi-brightness intensity |
en_US |
dc.title |
Design and implementation of a multi-brightness intensity vehicle headlight management system |
en_US |
dc.type |
Other |
en_US |