SMART CCTV SYSTEM: INTEGRATED WITH OPENCV AND TKINTER
Mr.Md. Chan Basha1, M.Shreya2, T.Ravindra3, T.Shashank4, U.Ganesh Goud5
1 Mr. Md. Chan Basha (assistant professor)
2M.Shreya Department of Computer Science and Engineering (Joginpally B.R Engineering College)
3T.Ravindra Department of Computer Science and Engineering (Joginpally B.R Engineering College)
4 T.Shashank Department of Computer Science and Engineering (Joginpally B.R Engineering College)
5U.Ganesh Goud Department of Computer Science and Engineering (Joginpally B.R Engineering College)
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ABSTRACT
This project presents a Smart CCTV System integrated with OpenCV and Tkinter, designed to enhance security through intelligent video analysis and user-friendly interaction. OpenCV, a powerful computer vision library, is used for real-time video processing, enabling features such as face detection, motion tracking, object detection and traffic signal monitoring. The system analyzes live feeds to identify security threats and intrusions, providing automated alerts to improve safety and response time.Tkinter, a Python GUI toolkit, is employed to create an intuitive interface that allows users to view live camera footage and configure the system's settings. The GUI ensures ease of use, allowing non-technical users to interact with and manage surveillance features effectively.
The integration of OpenCV for visual recognition and Tkinter for user interaction creates an efficient, automated CCTV system that surpasses traditional setups. This system is ideal for various applications, including home and business security, by offering real-time monitoring and quick detection of unusual activities. The system not only improves security but also enhances the efficiency of monitoring processes.This Smart CCTV System provides an accessible, scalable, and intelligent solution for modern surveillance, using a combination of advanced image processing and an intuitive interface for improved security management.
Key Words: Smart cctv camera , Tkinter , Motion detection , Facial Recognition , Object detection , Traffic signal monitoring , real-time monitoring.
