Security System Real Time Human Detection Pada Kamera CCTV Menggunakan Opencv Python

Abstract

Security is one of the most important factors, one of the security technologies that are widely used today is CCTV (closed-circuit television). Therefore we need a CCTV security system that can detect humans and provide warnings if the person is not recognized. The research method used in this security system is a software development method with the SDLC Waterfall development model. This model takes a systematic and sequential approach consisting of Requirements Gathering and Analysis, Systems Development, Systems Implementation and Coding, Testing, Deployment and Systems Operation and Maintenance. The architecture of this system uses the python, PHP and Android programming languages. The result of this final project is to produce a Real Time Human Detection Security System that can provide a warning in the form of an alarm if an unknown person is detected, sends an image of the unknown person to cloud storage and sends Unknown Detection notifications on android. It is hoped that the Real Time Human Detection Security System can reduce problems that occur and improve security.