Efficient Storage and Analysis of Videos through Motion-Based Frame Removal
Akash R,
Leandra Shania Anderson
Abstract:The storage and analysis of CCTV footage pose a significant challenge in modern surveillance systems. This paper presents an innovative and modern solution for efficient storage optimization and analysis through motion-based frame removal techniques. By leveraging the OpenCV library redundant frames are removed, resulting in substantial storage reduction without losing important motion events. The methodology uses Python’s OpenCV library with optional technologies such as Django, SQLite, and Bootstrap, ensurin… Show more
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