Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
People use security measures to protect their property whether it is a house or a company. Current security systems include the use of various motion sensors and video surveillance cameras, namely, Perimeter Intrusion Detection Systems. Most video monitoring systems work with algorithms such as background image removal, duplicate screen filter (DBF), a virtual flow path to detect motion where a video is recorded with a digital video recorder when a moving object is identified for memory retention, but in a proper process. some missing frames even moving objects are perceived as being treated as stable (without considering the minimal movement of objects below the boundary value), here we suggest a combination method to remove the background image and double screen filtering with open morphological motion identification. items and improve video quality. This project aims to provide one such perspective to ensure the safety and security of personal property. This system performs face recognition as an authentication procedure and alerts the owner when an unknown face is detected by sending an email with the snapshot of unknown face and a SMS. Live feed from multiple cameras can be viewed through smartphones, computers
Keywords:
CCTV, monitor, face-identification, camera
Cite Article:
"Unsurpassed Image Surveillance System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.686 - 690, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206112.pdf
Downloads:
000205422
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator