Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Hybrid Video Surveillance Systems Using P300 Signal

Author : Ruqaiya Khanam 1

Date of Publication :12th January 2018

Abstract: The Comprehensive Integrated Border Management System (CIBMS) aims at reducing infiltration at countries' borders and at overcoming risk. It is an integration of the solutions for manpower, sensor, networks, intelligence, control and control. Through the Brain Computer Interface (BCI) application, this research work aims to create a reference library on threat signature using cognitive technology which will enhance the intelligence for CIBMS to reduce human effort. The method aims to use an Electroencephalogram (EEG) cap to track brain signals from operators when operators see any suspicious border area movement, and then capture the precise video frame when the observer senses a danger. The combination of cognitive algorithm and EEG filtering not only reduces false alarms but also helps operators detect signs of threats that would be overlooked, such as flying birds, swaying branches or non-threatening object according to action recognition. This work aims to suggest a better technique of optimization on P300 brain signals and create a hazard signature operating library that is used with greater accuracy for potential automatic surveillance system

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