Solo IOT Devices to Capture Video and Audio Evidences

Abstract

Abstract: Due to an increased sense of security, such as CCTV and RFID, there has been an increase in video surveillance systems in public and private spaces in recent years. There are various flaws in video surveillance systems, including unclear images, complex structures, poor stability, the requirement for a lot of storage capacity to retain surveillance data, and relatively high prices. This study presents a real-time security surveillance system based on the Internet of Things. As a default programming environment, the system uses the Motion Detection algorithm developed in Python. This reduces storage requirements and lowers investment costs.. The algorithm for Motion Detection is being implemented on the Raspberry Pi 2 and Pi camera, which enables live video streaming with motion detection and alarm when motion is detected, as well as sending photographs and movies to a cloud server directly via the Pi camera. When the cloud is unavailable, the data is saved locally on the Raspberry Piand delivered whenever the connection is restored. The camera isinstalled on the motor, and the user controls its movement (Left/Right) via an IoT webpage, giving the user a better view of the surroundings. Keywords: Internet of things, Pi Camera, Raspberry pi, MotionDetection.