Abstract

In the current era, technology is the basic need of people and the imagination of life without technology is not possible. Everyone is surrounding with technologies. The automobile industry is also improving their technologies and introducing latest technologies for safety, security and comfort of people. But still, there is one major issue facing by people which is to detect and recover theft vehicle. Theft vehicle detection cases are the minimum solving cases in India. After vehicle got stolen, it is not possible for police department to track and detect the vehicle in some situations. The present electronic toll collection (ETC) system plays vital role in vehicle theft detection because the vehicles are RFID-enabled and easy to detect while crossing toll. But still, there are some situations where this ETC system cannot detect theft vehicle. To solve this problem, the paper presents an advance vehicle theft detection model based on ICT which helps to detect and recover the theft vehicle at toll plaza. The paper also focuses on current technologies like GPS, GSM, QR code, RFID, OTP, Fingerprint identification system and smart phone applications which are available for detection of theft vehicles. The main objective of this paper is to analyze the limitations of the existing vehicle theft detection system and develop new system to overcome these limitations.KeywordsETCFASTAGRFIDVehicle theft detection systemQR codeGSMGPSRegional transport office (RTO)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.