Study on Implementation of Machine Learning Algorithm using Microprocessor at Railway Crossings
Author(s):
Udbhav Singh , Shripad G. Desai
Keywords:
Efficiency, Human Error, Microprocessor, Machine Learning, Railways Crossing
Abstract
The aim of the paper is to provide a better solution for control of railway crossing & prevention of accidents caused due to absence of it. In order to do that we use Microprocessor. Presently human intervention is required in order to control barriers, use of micro-processor reduces human errors & can responsibly avert drastic accidents. Making use of machine learning algorithms can pave the way for automation leading to ultimate substitution of human workforce. The workforce can then be employed more efficiently making the organization more streamlined & cost effective. It will also decrease the cost incurred by the organization as the number of employees will decrease & employees will be provided with useful tasks increasing overall efficiency.
Article Details
Unique Paper ID: 150570

Publication Volume & Issue: Volume 7, Issue 7

Page(s): 217 - 219
Article Preview & Download


Share This Article

Go To Issue



Call For Paper

Volume 7 Issue 3

Last Date 25 August 2020

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

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies