Enhanced Elevator Security: Advanced Intelligence Surveillance with Opencv

Enhanced Elevator Security: Advanced Intelligence Surveillance with Opencv

Registration ID: IJNRD_222561

Published ID: IJNRD2405723

DOI: Click Here to Get

R Jegadeesan , R.Rupa , A. Prasanna , J. Nagaraju , K.Suryadev Patel, G.Pranavi

OpenCV, Surveillance, Motion Detection, Storage, Face Recognition

Film is only recorded under the Advanced Intelligent Footage Surveillance System project when motion is detected within a predetermined area using OpenCV. Additionally, the system controls the operation of a nearby lift, which only activates in response to motion detection. The setup consists of a camera recording the environment in real time, which OpenCV then analyses to detect motion. The lift's motion detection system will trigger the lift to start recording video and start working. When it senses no more motion, the device will cut off the video recording and switch off the lift. The system has many applications, including surveillance in public areas and building security. The system monitors and analyses video feeds in real-time, aiming to enhance security and safety in elevators by employing computer vision techniques. Object detection, real-time video capture, and tracking algorithms specifically designed for the unique dynamics of lift spaces are crucial components. The main functions of the system are to monitor and identify individuals coming into and going out of elevators, monitor any strange activity, and use facial recognition technology to provide access control when required. Anomaly detection algorithms are also employed to identify emergencies or unusual activities.

Published Paper   E-Certificate

"Enhanced Elevator Security: Advanced Intelligence Surveillance with Opencv", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.h46-h53, May-2024, Available :https://ijnrd.org/papers/IJNRD2405723.pdf

Volume 9 Issue 5, May-2024

Pages : h46-h53

Paper Reg. ID: IJNRD_222561

Published Paper Id: IJNRD2405723

Downloads: 000121124

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405723.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405723

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

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

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