ARM Based Design and Implementation of Embedded Audio-Visual Monitoring

With the quick improvement and wide use of PC and correspondence arranges, the data security has excited high consideration. Data security is not just connected to the political, military and conciliatory fields, additionally connected to the normal fields of individuals' everyday lives .We examined the benefits of embedded systems on audio-visual tracking. The Aim of this paper is to plan an installed audio-visual tracking. The framework has the capacity perform human face tracking, voice action identification, sound source heading estimation continuously The implementation architecture is based on an embedded ARM11 (Raspberry pi) and AT mega 16 processor. For speech signal processing an eight channel digital microphone array is developed and the associated pre-processing and interface feature are designed. By using Viola-Jones object detection framework we can detect human face which is used in many application such as security, robotics, Surveillance. All the experiments are conducted in real time environment and the experimental results show that this system can execute all the audition and vision function in real time. For visual tracking face detection algorithm is used for face detection.