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Conference Paper
Revolutionizing Surveillance: A Brief Survey of Edge AI Terminals in Road Infrastructure
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- Authors
- Muhammad Ashar Tariq, Mahnoor Ajmal, Euiri Jo, Malik Muhammad Saad, Seri Park, Jinhong Kim, Dongkyun Kim
- Issue Date
- 2024-02
- Citation
- International Conference on Artificial Intelligence in Information and Communication (ICAIIC) 2024, pp.281-285
- Language
- English
- Type
- Conference Paper
- Abstract
- The evolution of Closed-Circuit Television (CCTV) systems, initially designed for security, has transcended into diverse domains, impacting public spaces, transportation hubs, and commercial districts. While serving traditional roles in crime prevention, these systems now play vital roles in correctional institutions, education, and various industries. The proliferation of CCTV cameras, though providing extensive surveillance, presents challenges of network congestion and resource-intensive processing. This prompts the need for innovative solutions. Edge AI Terminals-A transformative approach that strategically places advanced computing capabilities closer to data sources, reducing reliance on centralized servers. Additionally, it can employ cutting-edge AI algorithms, enabling heightened efficiency and responsiveness. In this paper, we discuss the evolution of CVTV usage and the revolution of surveillance by integrating edge AI technology. We further discuss how edge AI terminals can play a key role in future road infrastructure. Finally, some major challenges and their potential solutions are highlighted.
- KSP Keywords
- Advanced Computing, Closed Circuit Television(CCTV), Crime Prevention, Cutting-edge, Key role, Potential solutions, Public space, Resource-intensive, Road infrastructure, brief survey, data sources