TY - GEN
T1 - Revolutionizing Surveillance
T2 - 6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024
AU - Tariq, Muhammad Ashar
AU - Ajmal, Mahnoor
AU - Jo, Euiri
AU - Saad, Malik Muhammad
AU - Park, Seri
AU - Kim, Jinhong
AU - Kim, Dongkyun
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - CCTV
KW - Edge AI
KW - Surveillance
UR - http://www.scopus.com/inward/record.url?scp=85189933165&partnerID=8YFLogxK
U2 - 10.1109/ICAIIC60209.2024.10463313
DO - 10.1109/ICAIIC60209.2024.10463313
M3 - Conference contribution
AN - SCOPUS:85189933165
T3 - 6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024
SP - 281
EP - 285
BT - 6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 February 2024 through 22 February 2024
ER -
