dc.contributor.author |
Chakuwa, Gabriel |
|
dc.date.accessioned |
2024-07-14T14:37:45Z |
|
dc.date.available |
2024-07-14T14:37:45Z |
|
dc.date.issued |
2024 |
|
dc.identifier.citation |
Chakuwa, G. (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 Unpublished dissertation.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/10.60682/0h7c-3266 |
|
dc.description |
Dissertation |
en_US |
dc.description.abstract |
This innovative project introduces a novel method to elevate 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. This dynamic adaptation optimizes visibility and minimizes glare, effectively addressing the complexities associated with diverse lighting conditions, and resulting in enhanced road safety and driving comfort. The integration of hardware tools such as 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. Furthermore, 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, thus, ensuring an unparalleled driving experience. |
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 |