Vigilant Eyes: Empowering CCTV Surveillance with ML and AI for Face Recognition, Fall Prevention, and Violence Detection
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
CCTV surveillance
machine learning and artificial intelligence
face detection
fall detection
fight detection
security
real-time
revolutionize security
Abstract
This paper analyses the shortcomings of traditional CCTV surveillance systems in identifying and preventing security breaches in addition to introducing a machine learning and artificial intelligence-powered system for enhanced security coverage in real-time. The technology analyses video footage from CCTV cameras and employs face, fall, and fight detection algorithms to quickly spot potential security risks. Our system’s technical specifications are covered in full, including the algorithms for face, fall, and fight detection. The implementation of the system faces several difficulties with accurate facial recognition and trustworthy fall and fight detection, which are also covered. Studies show how good the system is in spotting potential security issues, and prospective uses for the technology in a range of settings, such as airports, shopping malls, and public transit systems, are explored. Our solution serves as a proof of concept for further study in this area and has the potential to revolutionize security through the integration of ML and AI technologies into CCTV monitoring systems.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Ishika Dubey | AMC Engineering College |
| 2 | Siddharth Ghatuary | AMC Engineering College |
| 3 | Kartik Tripathi | AMC Engineering College |
| 4 | Kunal Sajwani | AMC Engineering College |
| 5 | Snigdha Kesh | AMC Engineering College |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Dubey, Ishika, Ghatuary, Siddharth, Tripathi, Kartik, Sajwani, Kunal, & Kesh, Snigdha (2023). Vigilant Eyes: Empowering CCTV Surveillance with ML and AI for Face Recognition, Fall Prevention, and Violence Detection. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 1690-1696.
MLA Style
Dubey, Ishika, et al. "Vigilant Eyes: Empowering CCTV Surveillance with ML and AI for Face Recognition, Fall Prevention, and Violence Detection." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 1690-1696.
IEEE Style
Ishika Dubey, Siddharth Ghatuary, Kartik Tripathi, Kunal Sajwani, and Snigdha Kesh, "Vigilant Eyes: Empowering CCTV Surveillance with ML and AI for Face Recognition, Fall Prevention, and Violence Detection," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 1690-1696, 2023.
Vancouver Style
Dubey Ishika, Ghatuary Siddharth, Tripathi Kartik, Sajwani Kunal, Kesh Snigdha. Vigilant Eyes: Empowering CCTV Surveillance with ML and AI for Face Recognition, Fall Prevention, and Violence Detection. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):1690-1696.
Harvard Style
Dubey, Ishika, Ghatuary, Siddharth, Tripathi, Kartik, Sajwani, Kunal, & Kesh, Snigdha (2023) 'Vigilant Eyes: Empowering CCTV Surveillance with ML and AI for Face Recognition, Fall Prevention, and Violence Detection', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 1690-1696.
Chicago Style
Dubey, Ishika, et al. "Vigilant Eyes: Empowering CCTV Surveillance with ML and AI for Face Recognition, Fall Prevention, and Violence Detection." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1690-1696.
Turabian Style
Dubey, Ishika, et al. "Vigilant Eyes: Empowering CCTV Surveillance with ML and AI for Face Recognition, Fall Prevention, and Violence Detection." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1690-1696.
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