Treffer: Smart home security system using IoT and deep learning.

The motivation behind this paper is to introduce a plan of a home safety framework that is effective. The framework furnishes the client with complete control over its services. The arrangement of the home security framework includes the utilization of a Raspberry Pi 4 model B to which a Passive Infrared Sensor (PIR sensor) and a camera are associated. The PIR sensor is utilized to recognize development and the camera is utilized to catch pictures and picture finding processes using the OpenCV picture handling library and Python programming language. Meanwhile the execution of the framework, the PIR sensor is set up to identify development in the controlled conditions, in case development is distinguished, the Raspberry Pi 4 model B utilizes the camera to start the face location process. After face detection and recognition, the caught picture is then shipped off the client telegram account. The objective of this paper is to introduce a security system which is effective in securing home by using Deep Learning. We designed a security system which uses deep learning method for face detection and face recognition so that known person can enter in home and unknown person can enter in home only when owner allow him. By using python, Raspberry Pi 4 model B programmed so that face of intruder can be detected and recognized. [ABSTRACT FROM AUTHOR]

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