Unmasking the Unknown: AI-Driven Video Insights

Due to the increase in offensive behavior, protection has become a top priority. CCTV surveillance has been used by numerous organizations to keep an eye on communications and human behavior. One individual can be photographed at least 40 to 50 times a day in an 80 millionperson developed nation. Consequently, over time, a vast amount of video material is produced and archived. Monitoring such enormous volumes of data would be impossible without automation, necessitating a great deal of concentration and work, which would just increase the workload. Automation is essential to solving this problem. Additionally, decision-making and reaction times can be enhanced by concentrating on the pertinent body parts where aberrant activity takes place. This is accomplished by breaking down videos into frames and examining the people and their actions.

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Publication Details

Published
2025-05-29
DOI
https://doi.org/10.1109/netcrypt65877.2025.11102319
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Unmasking the Unknown: AI-Driven Video Insights

B. Nikhila, G. Shreya, E. Shriya
Anomaly Detection Techniques and Applications
article

Unmasking the Unknown: AI-Driven Video Insights

B. Nikhila, G. Shreya, E. Shriya
article en

Abstract

Due to the increase in offensive behavior, protection has become a top priority. CCTV surveillance has been used by numerous organizations to keep an eye on communications and human behavior. One individual can be photographed at least 40 to 50 times a day in an 80 millionperson developed nation. Consequently, over time, a vast amount of video material is produced and archived. Monitoring such enormous volumes of data would be impossible without automation, necessitating a great deal of concentration and work, which would just increase the workload. Automation is essential to solving this problem. Additionally, decision-making and reaction times can be enhanced by concentrating on the pertinent body parts where aberrant activity takes place. This is accomplished by breaking down videos into frames and examining the people and their actions.

Openalex Percentile: Top 89%
Anomaly Detection Techniques and Applications
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