Physical Security Terry L. Boss SEC- 581 Legal & Ethic Issues in Security Management April 13‚ 2014 Professor Elliott DeVry University I. Objective Statement A. Security today B. Security of Tomorrow II. Electronic detection systems A. Inferred lasers B. Night Vision Cameras C. Eye scanners D. Palm Scanners E. Finger Print Scanners F. Security Code Devices III. Barriers A. Plastic B. Concrete
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Practise essay Analyse how a writer used language to develop the theme(s) of the written text. The cyberpunk novel‚ Feed‚ is a book which explores the dangers of overpowering consumerism. Author MT Anderson uses language to develop the theme of a failing futuristic society as an outcome of constant consumerist influence. Anderson uses character dialogue‚ descriptions of environmental degradation and internally received ‘banners’ or advertising inside the characters’ heads to explore the problems
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From YouTube to Facebook; from Xbox 360 to Nintendo Wii; from Intel-powered computers to multitasking mini netbooks; these evolutionary medium of Information and Communication Technology (ICT) have become essential part of our lives that not using one of them is so irrelevant in our society. Indeed‚ the rapid advancement of technology propels the social welfare‚ for better or worse. Undeniably‚ I agree that ICT cause today’s many soial ills like cyber-bullying and privacy intrusion. However‚ I am
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AUTOMATIC NUMBER PLATE RECOGNITION SYSTEMS Introduction It is believed that there are currently more than half a billion cars on the roads worldwide. All those vehicles have their vehicle identification number ("VIN") which states a legal license to participate in the public traffic. No vehicle without properly mounted‚ well visible and well readable license plate should run on the roads. The license number is the most important identification data a computer system should treat when dealing
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3.01+681.327.12 http://neuroface.narod.ru ACCESS CONTROL BY FACE RECOGNITION USING NEURAL NETWORKS* Dmitry Bryliuk and Valery Starovoitov Institute of Engineering Cybernetics‚ Laboratory of Image Processing and Recognition Surganov str.‚ 6‚ 220012 Minsk‚ BELARUS E-mail: bdv78@mail.ru‚ valerys@newman.bas-net.by A Multilayer Perceptron Neural Network (NN) is considered for access control based on face image recognition. We studied robustness of NN classifiers with respect to the False Acceptance
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Presentation a. One of the presentations was the Face Recognition System. This is where you will take a picture and your picture will be recognizing if it’s on the database or not. The system had two face algorithms which are the Eigenface and the Fisherface. They said that when you have a lower score the more likely that your picture will be recognized. b. I have learned that there’s an algorithm and calculation on face recognition which are the Identification rate‚ false alarm rate‚ verification
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surveillance system for intelligent monitoring that captures data in real time‚ transmits‚ processes and understands the information related to the monitored data. The video data can be used as a forensic tool for after-crime inspection. Hence‚ these systems ensure high level of security at public places which is usually an extremely complex challenge. As video cameras are available at good price in the market‚ hence video surveillance systems have become more popular. Video surveillance systems have wide
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Project title * Pose-Invariant Face Recognition Abstract * Project motivation: To recognize pose-invariant face images. * Objectives: Research and implement algorithms to get a better recognition performance of variant poses. Background * Face recognition is very useful in some area. But even the same person would have variety of poses. Pose has become an important factor affecting face recognition. The key point is to get the face feature which is invariant along with the changing
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Big brothers eyes - by William D. Eggers and Eve Tushnet On 2 May 2002‚ The New York Post published an article about the use of surveillance cameras in public places written by William D. Eggers and Eve Tushnet of the Manhattan Institute‚ a high-profile right-wing think-tank. Entitled "Big Brother’s Eyes" and printed on The Post’s opinion page‚ William (Bill) Eggers was born in 1967 and is an American writer and government consultant. Eggers was born in New York City‚ grew up in the Chicago‚ Illinois
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Diploma thesis Face detection with Waldboost algorithm Zdenˇk K´lal e a zdenek.kalal@gmail.com January 18‚ 2007 Acknowledgement I would like to thank my supervisor‚ doc. Dr. Ing. Jiˇ´ Matas‚ for the guidance rı and advice he has provided throughout the research. I would also like to thank Jan ˇ Sochman for helping me especially in the technical issues. Abstract Face detection algorithms based on the work of Viola and Jones [11] train the classifier by processing training examples of face
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