CCTV Video Storage Optimisation: Motion-Based Frame Removal For Efficiency

CCTV Video Storage Optimisation: Motion-Based Frame Removal For Efficiency

Registration ID: IJNRD_221426

Published ID: IJNRD2405366

DOI: Click Here to Get

DEEPAK P , VAISHNAVI BS , HITESH SM , YUKTHI A , SOUMYA KN

Computer image, picture processing, video analytics, data analytics, motion detection, video compression, storage optimization, and video enhancement

In today's surveillance systems, storing and analyzing CCTV footage is a major difficulty. This research offers a novel and cutting-edge approach to effective storage analysis and optimization by means of motion-based frame reduction methods. Repetitive frames are eliminated by using the OpenCV library, which significantly reduces storage without sacrificing significant motion events. The approach leverages the OpenCV package for Python along with additional technologies like Django, SQLite, and Bootstrap to provide scalability, dependability, and efficient data visualization. Results from experiments have shown how effective various camera configurations in various settings may be at preserving important data. The method provides a workable way to cut costs, increase analytical effectiveness, and improve usability. This study advances the subject of CCTV surveillance by offering a workable, practically applicable approach. The discoveries open the door for more sophisticated monitoring systems and spur additional advancements in storage optimization

Published Paper   E-Certificate

"CCTV Video Storage Optimisation: Motion-Based Frame Removal For Efficiency ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.d605-d608, May-2024, Available :https://ijnrd.org/papers/IJNRD2405366.pdf

Volume 9 Issue 5, May-2024

Pages : d605-d608

Paper Reg. ID: IJNRD_221426

Published Paper Id: IJNRD2405366

Downloads: 000121143

Research Area: Engineering

Country: Bengaluru, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405366.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405366

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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