Intelligent surveillance support system

• Published in: Discover Internet of things Vol. 3; no. 1; pp. 9 - 14
• Main Authors: Saketh, Meduri, Nandal, Neha, Tanwar, Rohit, Reddy, B. Pradyun
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.12.2023; Springer Nature B.V; Springer
• Subjects: Algorithms; Artificial intelligence; Automation; Cameras; Computer Science; Computer vision; Cyber-physical systems; Electrical Engineering; Electronic monitoring; Electronic surveillance; Face recognition; Facial recognition technology; Identification; Information Systems Applications (incl.Internet); Internet of Things; IoT; ISSS; Literature reviews; Motion detection; Night vision; OpenCV; Python; Real time; Security systems; Software; Surveillance; Theft detection; Computer vision; Face recognition; OpenCV; ISSS; Motion detection; Real time; Theft detection
• ISSN: 2730-7239; 2730-7239
• DOI: 10.1007/s43926-023-00039-0

The Intelligent Surveillance Support System(ISSS) is an innovative software solution that enables real-time monitoring and analysis of security footage to detect and identify potential threats. This system incorporates advanced features such as face recognition, alarm on theft detection, visitors in/out detection and motion detection, to provide a comprehensive and reliable security solution. The implementation of this software aims to improve the efficiency of surveillance systems, thereby enhancing the safety and security of public and private spaces. The focus of this study is on performing the aforementioned tasks in real time while utilizing enhanced algorithms from the OpenCV Library, such as LBPH and Haar Cascading, which enhance the use of machine perception and help us produce outcomes with an accuracy of about 95% after multiple runs. With the rapid advancements in technology and the increasing need for surveillance in today’s world, the Intelligent Surveillance Support System holds immense potential in the field of security and surveillance.