BlueARMStreamer: A Real Time Streaming Approach

Abstract

Surveillance systems are aimed at providing security and for keeping a vigilant eye on all events. Such systems can be enhanced if they have the capability to capture surrounding sound and motion. Also, these systems can be made more efficient by implementing such ideas on a robot which can move from one place to another. Such a system can be used for implementing voice recognition and face recognition processes simultaneously. A limiting factor for such an embedded approach is the power consumption and cost factor. This paper introduces one such technique which is cost and power efficient and continuously captures sound and video from any system i.e. a laptop, PDA, mobile phone, desktop computer and transfers it simultaneously to any other Bluetooth enabled system in its vicinity. This paper makes use of an OMAP chip, embedded in Beagle Board to implement a live audio and video streaming approach. The Beagle Board can be attached to a line follower robot to design a moving surveillance system.