AiWatch: A Distributed Video Surveillance System Using Artificial Intelligence and Digital Twins Technologies DOI Creative Commons
Alessio Ferone, Antonio Maratea, Francesco Camastra

et al.

Technologies, Journal Year: 2025, Volume and Issue: 13(5), P. 195 - 195

Published: May 10, 2025

The primary purpose of video surveillance is to monitor public indoor areas or the boundaries secure facilities safeguard them against theft, unauthorized access, fire, and various other potential threats. Security cameras, equipped with integrated systems, are strategically placed throughout critical locations on premises, allowing security personnel observe all for specific behaviors that may signal an emergency a situation requiring intervention. A significant challenge arises from fact individuals cannot maintain focus multiple screens simultaneously, which can result in oversight crucial incidents. In this regard, artificial intelligence (AI) analytics has become increasingly prominent, driven by numerous practical applications include object identification, detection unusual behavior patterns, facial recognition, traffic management. Recent advancements technology have led enhanced functionality, remarkable accuracy, reduced costs consumers. There noticeable trend towards upgrading frameworks incorporating AI into pre-existing thus leading modern leverages analytics, enabling reporting anomalies within mere seconds, thereby transforming it proactive solution. context, AiWatch system introduces digital twin (DT) architecture facilitate advanced through aggregation data sources. By exploiting DT analyze different sources, possible derive deeper insights applicable at higher decision levels. This approach allows evaluation effects outcomes actions examining scenarios, hence yielding more robust decisions.

Language: Английский

AiWatch: A Distributed Video Surveillance System Using Artificial Intelligence and Digital Twins Technologies DOI Creative Commons
Alessio Ferone, Antonio Maratea, Francesco Camastra

et al.

Technologies, Journal Year: 2025, Volume and Issue: 13(5), P. 195 - 195

Published: May 10, 2025

The primary purpose of video surveillance is to monitor public indoor areas or the boundaries secure facilities safeguard them against theft, unauthorized access, fire, and various other potential threats. Security cameras, equipped with integrated systems, are strategically placed throughout critical locations on premises, allowing security personnel observe all for specific behaviors that may signal an emergency a situation requiring intervention. A significant challenge arises from fact individuals cannot maintain focus multiple screens simultaneously, which can result in oversight crucial incidents. In this regard, artificial intelligence (AI) analytics has become increasingly prominent, driven by numerous practical applications include object identification, detection unusual behavior patterns, facial recognition, traffic management. Recent advancements technology have led enhanced functionality, remarkable accuracy, reduced costs consumers. There noticeable trend towards upgrading frameworks incorporating AI into pre-existing thus leading modern leverages analytics, enabling reporting anomalies within mere seconds, thereby transforming it proactive solution. context, AiWatch system introduces digital twin (DT) architecture facilitate advanced through aggregation data sources. By exploiting DT analyze different sources, possible derive deeper insights applicable at higher decision levels. This approach allows evaluation effects outcomes actions examining scenarios, hence yielding more robust decisions.

Language: Английский

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