Open AccessVehicle Management System To Reduce The Risky Factors Using Embedded Technology Enhanced With Wi-Fi
Author(s) -
V. Jacintha,
K. H. Shakthi Murugan,
S. Kaviya,
V. Hemamalini,
Bernadeta Wuri Harini,
V. Haripriya
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/994/1/012010
Subject(s) - harm , global positioning system , computer security , control (management) , accidental , computer science , identification (biology) , risk analysis (engineering) , business , telecommunications , physics , botany , artificial intelligence , political science , acoustics , law , biology
Medium to medium is a quickly developing technique, which renders enhanced client servicing, occupation betterments via best usage of assets, enhanced techniques and production via communicating between distant machinery and vehicle Management System. Here, the vehicle status and location can be determined. Vehicle Tracker utilize GPS devices to give an account of the location information to the server. Accident is unplanned harm, is an unwanted, accidental, and unintentional consequence that must have been precluded had considerations and if there is no proper system human lives will be in danger. The main purpose of this technology is to identify an accident and give an indication signal to the control room, so that the affected individual can seek some support. The severity of the incident can be identify from the control room, without going to the sot in person. If this model is fix all vehicle, it will be very useful to identify how many vehicles undergoes in that specified accident and the extent to which it has taken place. In order that the aid from control room will be able to rescue and protect driver or passengers. The present board designed the tracking of vehicle and systems for accidents alert that makes it extremely valuable and utile. This board indicates to us driver abnormal condition and as well as accident identification. It additionally identifies the driver drowsiness.