Automatic Detection of Vehicle Entry into a Restricted area using IoT
K. Saranya1, S. Vijayashaarathi2, M. Amutha3
1K. Saranya, Assistant Professor, Department of ECE, Sona College of Technology, Salem (Tamil Nadu), India.
2S. Vijayashaarathi, Assistant Professor, Department of ECE, Sona College of Technology, Salem (Tamil Nadu), India.
4M. Amutha, Assistant Professor, Department of ECE, Sona College of Technology, Salem (Tamil Nadu), India.
Manuscript received on 08 June 2019 | Revised Manuscript received on 30 June 2019 | Manuscript Published on 04 July 2019 | PP: 1055-1057 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A11970681S419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Nowadays IoT(Internet of Things) driven restricted area surveillance serves as a challenging environment in smart cities application. Facial recognition, RFID and PIR sensor is a way of surveillance using VLPR (Vehicle License Plate Recognition)and the information obtained is updated in IoT. Alphanumeric letters are extracted from number plate using VLPR and also checks for authorized vehicle entry. The area under surveillance allows access for authorized persons using facial recognition and RFID tag. The buzzer sound will be produced by PIR sensor detecting the motion of illegal entry in the restricted area.The proposed research concentrates on how to detect the vehicle/license plate object using VLPR and shows the way to reduce the required data volume to be stored in IoT.
Keywords: VLPR(Vehicle License Plate Recognition), IoT (Internet of Things), RFID (Radio Frequency Identification), Facial Recognition, Restricted area Surveillance.
Scope of the Article: IoT