Automatization of fog lamp based on LED sensor and photo dioda

Author:

Ratnawati Dianna,Purnomo Sigit,Handoyono Nurcholish Arifin,Subagyo ,Suyitno

Abstract

Abstract Accidents due to misuse of fog lamps are traffic violations. To help minimize the misuse of fog lamps, the automatic fog lamp design is indispensable for car drivers to be applied directly to vehicles that still use manual fog lamps. This study aims to produce the design / prototype automatic fog lights with control LED and photo diode sensors that can work effectively, efficiently and economically and is able to function when the fog began to emerge through the simulation of CO2 solid (dry ice). This research method uses experiments with implementation stages including (1) designing an automatic fog lamp circuit, (2) simulating the validity of the design, (3) refining the design until the final design is obtained, (4) product manufacturing, (5) product testing, (6) automatic fog lamp prototype. Design media using PCB (Printed Circuit Board). While the main components needed are batteries, switches, resistors, LEDs, photo diodes, transistors, relays, fog lamps, and cables. From the test results, the automatic fog lamp circuit design with the substitution of the light sensor is able to turn the fog lamp on and off automatically. The efficient distance for placing the LED and photo diode is 4.5 cm. Thus, the LED-based automatic fog lamp and photo diode can be used as an alternative to support the safety factor for vehicle users.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Revolutionizing Vehicle Safety: IOT-Enabled Inter Vehicular Communication for Real-time Data Transfer and Emergency Response Via Wi-Fi;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

2. Development of vocational life skills learning model based on entrepreneurship in automotive engineering education students;VII INTERNATIONAL CONFERENCE “SAFETY PROBLEMS OF CIVIL ENGINEERING CRITICAL INFRASTRUCTURES” (SPCECI2021);2023

3. Application of jigsaw learning method with online literature to improve learning outcomes at vocational education high school;VII INTERNATIONAL CONFERENCE “SAFETY PROBLEMS OF CIVIL ENGINEERING CRITICAL INFRASTRUCTURES” (SPCECI2021);2023

4. Project-based blended learning: The innovation of the pandemic era of learning models in vocational high schools;VII INTERNATIONAL CONFERENCE “SAFETY PROBLEMS OF CIVIL ENGINEERING CRITICAL INFRASTRUCTURES” (SPCECI2021);2023

5. Media starter system for improve student learning outcomes;VII INTERNATIONAL CONFERENCE “SAFETY PROBLEMS OF CIVIL ENGINEERING CRITICAL INFRASTRUCTURES” (SPCECI2021);2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3