Smart Surveillance Using OpenCV

These days, security and safety are top priorities. Whether at home or at business, people and organizations can utilize security measures to safeguard their property. Many different sensors are used in video surveillance cameras in modern security systems. This initiative seeks to provide you with suggestions on how to make sure that your property is protected and secure. When this technology recognizes an unfamiliar face from a photograph of an unknown face, it is doing facial recognition as an authentication method. In this paper, we suggest using the structural similarity index measure (SSIM), Tkinter, local binary pattern histogram (LBPH), and Haar cascade classifier algorithms to provide intrusion detection for rational closed-circuit TV (CCTV). CCTV systems that use intrusion detection do more than merely capture and edit real-time footage and this can be used in the goal of this project to create open-source code. Intelligent tools that help individuals or organizations create by themselves; it is an inexpensive and safe system. This will give them take full control of your device to protect your settings and customize it according to your needs.