Abstract

This paper presents a surveillance robot that performs face recognition using artificial intelligence (AI), controlled via an Android application for examining threats in its vicinity. The robot is capable of detecting humans in real time scenarios. The activity cycle of the robot is categorized in a number of tasks: Object Detection, Face Detection, Face Recognition, generation of alert signals to the user. The robot detects the human face based on Haar Cascade Algorithm using a camera module interfaced with Raspberry Pi. The system is exposed to numerous facial images of people from different angles and background conditions. This forms the database to train the system which aids in facial recognition. Subsequently, when the robot detects a human face, it initiates the algorithm for recognition of face which uses Local Binary Pattern (LBP) approach. According to images in the dataset, the robot determines whether the human detected is a threat or not. In case of a match with the dataset, the user receives a message through GSM module on his/her mobile phone along with the name of the person recognized. In case of a mismatch, a threat or an alert message is received by the user. The motion of the robot is controlled by the android application through Bluetooth

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