A Real-Time Criminal Face Recognition Using an Automated Surveillance Camera and Quantum Networking

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Author(s): D. Raghav (Sathyabama Institute of Science and Technology, India), Prasanna Venkatesh K. (Sathyabama Institute of Science and Technology, India)and D. Aishwarya (Sathyabama Institute of Science and Technology, India)
Copyright: 2025
Pages: 14
Source title: Multidisciplinary Applications of AI and Quantum Networking
Source Author(s)/Editor(s): Christo Ananth (Samarkand State University, Uzbekistan), Osamah Ibrahim Khalaf (Al-Nahrain University, Iraq)and Jose Anand (KCG College of Technology, India)
DOI: 10.4018/979-8-3693-9336-9.ch008

Keywords: Artificial Intelligence / Engineering Science Reference / Knowledge Management and Library Science / Quantum Information & Computing

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Abstract

Finding and identifying a criminal is a laborious and time-consuming task. These days, criminals are becoming more cunning and leave no fingerprints or biological evidence at the crime scene. Using cutting-edge face recognition technology is a simple and quick fix. The majority of buildings and traffic signals now have CCTV cameras installed for surveillance reasons thanks to advancements in security technology. The camera's recorded video can be utilized to identify offenders, suspects, fugitives, missing people, etc. This research investigates the use of deep neural networks and machine learning to create a criminal identification system. An elegant way to make law enforcement easier is to adopt the following technique.

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A Real-Time Criminal Face Recognition Using an Automated Surveillance Camera and Quantum Networking

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