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Detection of Potentially Suspicious Person on Real-Time Basis Using Embedded Platform
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Abstract: Embedded systems have occupied humans in all aspects of their day to day activities. The best suitable example which clearly justifies the above statement is the mobile phones. Why these mobile phones have become as addictive as drugs is due to the world wide connectivity using a most powerful tool called as the Internet. If we are able to use this technology in a progressive way for the welfare and well-being of the society, then we can create any kind of miracles. The Image and Video sharing part is playing a major role in this Internet era. So using this latest trend, this project has been implemented in reference to the above mentioned 3 criteriaβs which is: The Internet, well-being of society part β as: The Security feature and last part Image & Video sharing. This project is about Detection of Potentially Suspicious Person and streaming the Video and Images of the detected person on Real-Time basis.
Keywords: Raspberry PI, Haar Cascade classifier, Sensors, Face Detection.
Keywords: Raspberry PI, Haar Cascade classifier, Sensors, Face Detection.
How to Cite:
[1] Sai Prabhu K.B, Seema Sreekumar, βDetection of Potentially Suspicious Person on Real-Time Basis Using Embedded Platform,β International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2015.3724
