Automated Elevator with Overload Alert
Author(s):
Shringved Singh Thakur, Shivani Nandapurkar, Shikhar Srirup
Keywords:
Automated Elevator, ATMEGA-328, Driver IC, LM7805CT Regulator.
Abstract
This work introduces a new solution of elevator controlling system which is based on microcontrollers. The purpose of this work is to design an effective elevator control system, which can be reprogrammed in a fashion to minimize the congestion on a particular lane by directing the lift on a particular floor using time management scheme. Present scope of the project is to provide an automatic congestion control and hence found its importance in various fields of applications. By the use of such design complexity of the system has been simplified. This system helps to indicate limit of an elevator, which is how many people can be inside an elevator at a particular time. The system displays the number of people inside an elevator with the help of 7 segment display. Each pair consists of 2 sensor pairs placed at a certain distance from one another in the opposite direction. The system includes Infrared Sensor pairs which are placed near the elevator door. These sensors senses when a person enters an elevator and it opens the door of the elevator and simultaneously increments the counter for the number of people entering the elevator. The IR transmitter is used to transmit IR rays straight to the receiver which receives the input and feeds this to a Microcontroller.
Article Details
Unique Paper ID: 149592

Publication Volume & Issue: Volume 7, Issue 1

Page(s): 18 - 21
Article Preview & Download


Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews