An Intelligent Reconnaissance Framework for Homeland Security

Tarun Kumar; Dharmender Singh Kushwaha

doi:10.14429/dsj.69.12514

Tarun Kumar Motilal Nehru National Institute of Technology, Allahabad - 211 004
Dharmender Singh Kushwaha Motilal Nehru National Institute of Technology, Allahabad - 211 004

DOI: https://doi.org/10.14429/dsj.69.12514

Keywords: Vehicle detection, Vehicle tracking, Automatic number plate detection, Radio frequency identification, Reconnaissance

Abstract

The cross border terrorism and internal terrorist attacks are critical issues for any country to deal with. In India, such types of incidents that breach homeland security are increasing now a day. Tracking and combating such incidents depends only on the radio communications and manual operations of security agencies. These security agencies face various challenges to get the real-time location of the targeted vehicles, their direction of fleeing, etc. This paper proposes a novel application for automatic tracking of suspicious vehicles in real-time. The proposed application tracks the vehicle based on their registration number, type, colour and RFID tag. The proposed approach for vehicle recognition based on image processing achieves 92.45 per cent accuracy. The RFID-based vehicle identification technique achieves 100 per cent accuracy. This paper also proposes an approach for vehicle classification. The average classification accuracy obtained by the proposed approach is 93.3 per cent. An integrated framework for tracking of any vehicle at the request of security agencies is also proposed. Security agencies can track any vehicles in a specific time period by using the user interface of the application.

Author Biographies

Tarun Kumar, Motilal Nehru National Institute of Technology, Allahabad - 211 004

Mr Tarun Kumar, received the Bachelor’s in computer science and engineering from University of Rajasthan, India in 2008 and MTech in software engineering from Rajasthan Technical University Kota, India in 2014. He is currently pursuing the PhD in computer science and engineering at Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India. His research interests include image processing, computer vision, and pattern recognition.

Contribution in the current study he detailed design of the proposed system, implementing ANPR algorithm and simulating results in SUMO and NS2.

Dharmender Singh Kushwaha, Motilal Nehru National Institute of Technology, Allahabad - 211 004

Prof. Dharmender Singh Kushwaha received the BE in computer engineering from University of Pune, India in 1990. He received the MTech and PhD in computer science and engineering from Motilal Nehru National Institute of Technology Allahabad, Allahabad, India in 2007. He was recipient of Gold Medal for his Masters. Since 2018 he is working as Professor with Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology Allahabad, India. His research interest includes: Distributed systems, service oriented architecture, software engineering, data structure and image processing.

Contribution in the current study, he stressed on the need for research that helps national security, outline of the proposed system along with its applicability, and mentor and supervision of the proposed work.

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