TY - GEN
T1 - Intelligent Video Surveillance
T2 - 4th International Conference on Smart Electronics and Communication, ICOSEC 2023
AU - Morales Cauti, Guisseppi Paul
AU - Vargas-Murillo, Alfonso Renato
AU - De Jesus Guevara-Soto, Francisco
AU - Ypanaque-Pereira, Isai Luis
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Artificial Intelligence has found its way through applications within diverse fields such as education, engineering, academics, among others. And even though constant improvement is made upon this technology in areas like data processing and text generation based on machine learning, other areas like the security field might need a different approach to be improved upon by this technology. Smart home security could come into mind as a primary example of how people could monitor their day-to-day life and prevent different occurrences by having an AI based system that focuses on intelligent video surveillance, but there is a need to answer the questions regarding how well does AI adapt to this field, what are its different applications and what are the challenges presented within said applications. For this matter, a systematic Literature Review was conducted in order to analyze the current and previous knowledge regarding this subject, in order to determine the different appliances that AI can have on video surveillance and security. The results of this study show the versatility of AI assisted security, in areas such as video surveillance, monitoring systems and even facial recognition. This study also concludes that, even though there are some impressive advancements regarding these applications, further development could be recommended to explore a greater number of possibilities for AI assisted security.
AB - Artificial Intelligence has found its way through applications within diverse fields such as education, engineering, academics, among others. And even though constant improvement is made upon this technology in areas like data processing and text generation based on machine learning, other areas like the security field might need a different approach to be improved upon by this technology. Smart home security could come into mind as a primary example of how people could monitor their day-to-day life and prevent different occurrences by having an AI based system that focuses on intelligent video surveillance, but there is a need to answer the questions regarding how well does AI adapt to this field, what are its different applications and what are the challenges presented within said applications. For this matter, a systematic Literature Review was conducted in order to analyze the current and previous knowledge regarding this subject, in order to determine the different appliances that AI can have on video surveillance and security. The results of this study show the versatility of AI assisted security, in areas such as video surveillance, monitoring systems and even facial recognition. This study also concludes that, even though there are some impressive advancements regarding these applications, further development could be recommended to explore a greater number of possibilities for AI assisted security.
KW - Artificial Intelligence
KW - Deep Learning
KW - Machine Learning
KW - Security
KW - Video Monitoring
KW - Video Surveillance
UR - http://www.scopus.com/inward/record.url?scp=85175701001&partnerID=8YFLogxK
U2 - 10.1109/ICOSEC58147.2023.10275947
DO - 10.1109/ICOSEC58147.2023.10275947
M3 - Conference contribution
AN - SCOPUS:85175701001
T3 - Proceedings of the 4th International Conference on Smart Electronics and Communication, ICOSEC 2023
SP - 986
EP - 991
BT - Proceedings of the 4th International Conference on Smart Electronics and Communication, ICOSEC 2023
Y2 - 20 September 2023 through 22 September 2023
ER -