A MINI PROJECT - 1 REPORT
Submitted by
MADHAN SURYA K (71812102110)
MANOJ KUMAR T (71812102116)
NITHESH S (71812102133)
In partial fulfillment for the award of the degree
Of
BACHELOR OF ENGINERRING
in
ELECTRONICS AND COMMUNICATION ENGINEERING
SRI RAMAKRISHNA ENGINEERING COLLEGE
[Educational Service: SNR Sons Charitable Trust]
[Autonomous Institution, Reaccredited by NAAC with ‘A+’ Grade]
[Approved by AICTE and Permanently Affiliated to Anna University, Chennai]
[ISO 9001:2015 Certified and All Eligible Programmes Accredited by NBA]
VATTAMALAIPALAYAM, N.G.G.O. COLONY POST,
COIMBATORE – 641 022
ANNA UNIVERSITY: CHENNAI – 600025
MAY 2023
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, SRI RAMAKRISHNA ENGINEERING COLLEGE
COIMBATORE – 22
BONAFIDE CERTIFICATE
20EC279 - MINI PROJECT 1
Certified that this 20EC279 – Mini Project 1 Report “AUTOMATIC HEADLIGHT
CONTROLLER” is the bonafide work of MADHAN SURYA.K (71812102110),
MANOJ KUMAR.T (71812102116), NITHESH.S (71812102133) who carried out the
project under my supervision.
SIGNATURE SIGNATURE
Mrs.Adline Jancy.Y, M.E., Dr.M. Jagadeeswari, M.E., Ph,D.,
Assistant Professor (Sr.G) Professor
Supervisor Head of the Department
Department of ECE Department of ECE
Sri Ramakrishna Engineering Sri Ramakrishna Engineering college
college
Coimbatore-22 Coimbtore-22
Submitted for the Mini Project Viva-Voce Presentation held on ________________
Internal Examiner External
Examiner
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, Acknowledgment
We put forth our heart and soul to thank almighty for being with us all through this
technical adventure.
We express our heartfelt thanks to our esteemed Managing Trustee, Sri.D.Lakshmi
Narayanaswamy, B.tech., MBA., and Joint Managing Trustee Thiru. R. Sundar, B.A,
MBA., for their invaluable support.
We thank our Principle, Dr. N.R. Alamelu, B.E. (Hons.), M.E., Ph.D., Sri
Ramakrishna Engineering College, Coimbatore, for her benevolent patronage in
carrying out this project.
We express our sincere respect and gratitude to our Professor & Head Dr.M.
Jagadeeswari, M.E., Ph,D., Department, Electronics and Communication Engineering
for her continuous encouragement and motivation throughout the project.
We are indebted to our Mini Project Coordinator Mr. Selvaganesh, M.E., Assistant
Professor (SR. G)/ECE and our Supervisor, Mrs. Adline Jancy Y, M.E Assistant
Professor (SR. G)/ECE for providing encouragement and guiding us throughout this
project with enthusiasm and enabling us to complete it within the stipulated time.
We extend our thanks to all the teaching, non-teaching faculty members of our
department and other department, friends, and family members for their support in carring
out the mini-project successfully.
ABSTRACT
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, As the technology is growing immensely in recent years, certain improvisation needs
to be made. People are tired of using the manual switch for converting high beam of the
headlight to low beam in most driving situations. This system will develop a smart device
which manipulates our system even without touching it. When an approaching vehicle is
recognized, an automatic headlight controller automatically switches a vehicle's
headlights from high beam to low beam. By preventing the driver of the approaching
vehicle from being momentarily dazzled by the high lights, this function increases road
safety. When an approaching vehicle is detected by sensors in the automatic headlight
controller, a mechanism to lower the headlights to the low beam setting is triggered. The
idea of an automatic headlight controller, its significance, and how it works to reduce
accidents and improve road safety are presented in this abstract. It can process the images
and videos to identify objects, using the live feed coming from the webcam to
automatically control the headlight. This system will first detect the vehicle and based on
that if any vehicle is detected, the source vehicle will be automatically goes to low beam
only if the source vehicle is in high beam or else it will remain in the same state (low
beam). If no vehicle is detected the source vehicle will automatically goes to high beam
only if the source vehicle is in low beam in the current state. One of the most popular
algorithms for real time object detection is YOLO (You Only Look Once).
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