Advanced surveillance and detection systems using deep learning to combat human trafficking
1 Department of International Relations, Federal University of Lafia, Nasarawa State, Nigeria.
2 Department of Communications, University of North Dakota, Grand Folks, USA.
3 Department of Telecommunications, Enforcement Ancillary and Maintenance, National Broadcasting Commission Headquarters, Aso-Villa, Abuja, Nigeria.
4 Department of Public Health, Kogi State Ministry of Health, Lokoja, Kogi State, Nigeria.
5 Department of Network Infrastructure Building, VEA, Telecoms, Manchester, United Kingdom.
6 Department of Electrical/Electronic Engineering, University of Port Harcourt, Nigeria.
Review Article
Magna Scientia Advanced Research and Reviews, 2024, 11(01), 267–286
Article DOI: 10.30574/msarr.2024.11.1.0091
Publication history:
Received on 21 April 2024; revised on 04 June 2024; accepted on 07 June 2024
Abstract:
Human trafficking remains one of the most heinous crimes, often hidden in plain sight, making it a complex challenge for law enforcement worldwide. The integration of deep learning into advanced surveillance and detection systems presents a promising frontier in the fight against this global issue. This review article explores the transformative impact of deep learning algorithms on surveillance technologies designed to detect patterns and anomalies indicative of human trafficking activities. We delve into various case studies where artificial intelligence (AI)-powered surveillance has not only facilitated the identification and rescue of victims but also significantly hindered the operational capabilities of trafficking networks. By analyzing the deployment of these systems in different contexts, this article assesses their effectiveness, the ethical implications of surveillance, the balance between privacy and security, and the future potential for scaling these technologies. Additionally, we explore the collaborative dynamics between AI technology developers and law enforcement agencies, emphasizing the need for a synergistic approach to maximize the impact of these technologies. This review aims to provide a comprehensive understanding of how cutting-edge deep learning applications are becoming crucial tools in the strategic arsenal against human trafficking, offering a beacon of hope for victims and a significant challenge to traffickers.
Keywords:
Deep Learning; Human Trafficking; Surveillance Technology; Ethical Considerations; Law Enforcement.
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0