Title :
Cloud based multiple vehicle tracking and locking system
Author :
Nalina, V. ; Sandesh, A.S. ; Sequiera, Royal Denzil ; Jayarekha, P.
Author_Institution :
Dept. of ISE, BMS Coll. of Eng., Bangalore, India
Abstract :
Vehicle crime has long been a menace to the world with a gamut of felonies which go as far as terrorism. Fortunately, with the advent of Global Positioning System (GPS) technology the tracking of a vehicle has been made remarkably simpler. However, the task of tracking of multiple vehicles and scaling such a system to track an enormous number of vehicles is a rigorous task. The need for similar inexpensive system is quite demanding. In this paper, a cloud based multi-vehicle tracking and locking system is presented that lets the owner of the vehicle to track any vehicle in real time. In the event of a malicious activity such as burglary, the owner can lock the system. The paper also professes a cost-effective system that lets the owner learn the instances of accidents or possible drink driving cases.
Keywords :
cloud computing; object tracking; security; traffic engineering computing; burglary; cloud based multiple vehicle tracking system; cloud based multivehicle locking system; malicious activity; GSM; Global Positioning System; Ground penetrating radar; Meteorology; Monitoring; Software; Vehicles; Cloud; Locking; Multiple-vehicle; Tracking;
Conference_Titel :
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location :
Banglore
Print_ISBN :
978-1-4799-8046-8
DOI :
10.1109/IADCC.2015.7154680