CCTV Theft Detection and Remote Alerting System
Keywords:
Algorithms, OpenCV, YOLOv3, API, CCTV.Abstract
Continuous recording of CCTV footages takes up large amount memory in hard disk that result in unnecessary usage of memory. So, we have proposed a system which the theft or intervention in the surveillance area which will help in a making CCTV camera smart and more efficient and powerful in terms of security and memory optimization. This system is a webapp which uses YOLOv3 algorithm for detection of the theft with the help OpenCV python library to integrate computer vision, the system includes remote alerting that is why an SMS provider is incorporated using API in this project. As the system is more reliable and has many features unlike traditional CCTV management software it can be a solution to many surveillance problems and a has many applications in various fields other than security in the future.
References
- H. Jain, A. Vikram, Mohana, A. Kashyap and A. Jain, "Weapon Detection using Artificial Intelligence and Deep Learning for Security Applications," 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC), 2020, pp. 193-198,
- H. Gong, H. Li, K. Xu and Y. Zhang, "Object Detection Based on Improved YOLOv3-tiny,"2019 Chinese Automation Congress (CAC), 2019, pp. 3240-3245, doi:10.1109/CAC48633.2019.8996750.
- E. Alajrami, H. Tabash, Y. Singer and M. -. E. Astal, "On using AI-Based Human Identification in Improving Surveillance System Efficiency," 2019 International Conference on Promising Electronic Technologies (ICPET), 2019, pp. 91-95, Doi: 10.1109/ICPET.2019.00024.
- https://pjreddie.com/darknet/yolo
- https://www.fast2sms.com
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT
This work is licensed under a Creative Commons Attribution 4.0 International License.