Security Monitoring System Design Based on ARM9 and Embedded Face Recognition System
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2012, Vol 1, Issue 7
Abstract
In this paper, proposed system is designed to recognize the person based on preloaded database images in controller. Our Embedded system using Friendly ARM9 based BSP S3C2440 has feature of image/video processing with detecting the face by using face class Haarcascade feature, and then face recognition by using Principal Component Analysis transform algorithms have been proposed for pedestrian detection. It overcomes the performance in terms of sensors and hardware cost is also too high. So, designed Embedded system recognize the person just as they enter the web camera view, with low false alarm rate and high speed. Security alerts are provided by Buzzer and SMS alert through GSM module when the person match with database images. This Embedded system is backed by RT Linux to work in a Real-Time environment.
Authors and Affiliations
J. Kiran, T V Janardhana Rao, Shaik Hussain Valli, U Hemalalitha
Keywords
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