TAF PUBLISHING

NWe present details of a project to build an inexpensive AI-based home surveillance system using Raspberry Pi. We used a Raspberry Pi and a USB webcam to record a live environment and take photos when motion is detected. The proposed security system allows multiple cameras and users. Users have access to a control center where they can login and select the appropriate camera. The website interface encrypts the user’s account information and stores them in a database. Further, an improved setup using Pi-based camera is shown and discussed. The proposed system uses IBM’s Internet of Things software library to implement several features via node-red flows. Two flows are created. The first flow triggers the camera to take pictures when motion is detected. The picture is then sent to visual recognition node for processing. If there are people detected, an email is sent with the link to the streaming. If people are not detected, there is no further action. The second flow is used to analyze the picture with AI-based visual recognition node. The picture is passed to the visual recognizer for analysis. Then the result is sent to a template node for display as a table.