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January 1, 2026INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTSOpen Access

Deep Learning Powered Algorithms Using Intrusion Analysis For Intelligent Video Surveillance

Prathap. G Dr.R. Vadivel

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Key Points

The central aim is to enhance intrusion detection capabilities in video surveillance systems through deep learning algorithms.
Developed algorithms leveraging deep learning techniques for video data analysis.
Conducted evaluations to assess performance against traditional methods.
Utilized a dataset of surveillance videos for training and testing the algorithms.
Demonstrated significant improvement in detection accuracy over traditional methods.
Achieved faster processing times for real-time surveillance applications.
Highlighted the effectiveness of deep learning in identifying intrusion patterns.

Implication

Develops algorithms using deep learning for efficient intrusion analysis in video surveillance systems, suggesting improved security solutions.

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Cite This Study

G et al. (2026) studied this question.

synapsesocial.com/papers/69a91df9d6127c7a504c16fc https://doi.org/10.56975/ijcrt.v14i2.301943

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