Facial recognition system

lives into the allurements of the Internet, our privacy has stowed itself into the relative anonymity of vast city populations. But these precious moments of privacy, hidden in the over abundance of lives and routines, will soon be threatened by facial recognition technology (Frey 2016). Any negative connotations surrounding surveillance is reciprocated by the Orwellian dystopia which is popular for its pessimistic perspective. Although these visions of a restrictive surveillance state are just fictional

Abstract— In this paper we implement the Human Face Action Recognition System in Wireless Sensor Network. Detecting movements of human is one of the key applications of wireless sensor networks. Existing technique is detecting movements of a target using face tracking in wireless sensor network work efficiently but here we implementing face action recognition system by using image processing and algorithms with sensors nodes. Using

SECURITY There must be some solid personal recognition schemes for a wide variety of system either to determine or conform the identity of the people who do services. The purpose is that to ensure the provided services are accessed only by the user and no other people can do so. Some of the examples of such process includes secure access to computers, laptops, buildings, security places etc. In absence of these schemes these systems are vulnerable to misuse. Therefore biometrics is introduced

Biometrics In The Criminal Justice System Ever heard the saying along the lines of “everyone is unique in their own way”? When it comes to biometric, that saying is very accurate due to the fact that uniqueness the basic premise of biometrics. Biometrics is one of the most effective technologies that is used to distinguish the variances of individuals (Cantore, 2011). Biometrics focuses on the minor and major differences of individuals by using many different methods as well as features. Throughout

RFID AND FACE RECOGNITION BASED ACCESS CONTROL SYSTEM 1Kenward Dzvifu, 2T Chakavarika Department of Information Security & Assurance, Harare Institute of Technology, Zimbabwe 1kenwarddzvifu@gmail.com 2ttchaka@gmail.com School of Information Science and Technology, Harare Institute of Technology, Zimbabwe ABSTRACT— The Radio frequency identification (RFID) technology has been broadly adopted in access control systems. This technology is based on the use of a card or tag and has some major

the dependence on cyber and cloud based systems to conduct daily operations has steadily grown over the years, so has the need for better security measures. So far it looks as though the answer, which most companies and organizations are adapting, is a system based on recognition of human characteristics known as biometrics. While implicitly more secure than traditional I.D. card and password security measures, concerns have been raised as to if these systems are detrimental to personal privacy.

for automatic detection and recognition of student during academics, followed by display of personal information of students. This application makes proper use of CCTV camera for real time face detection of students of particular college. The proposed application can be divided into four major steps. In first step, each person in the image is detected. In the second step, a face detection algorithm detects faces of each person. In third step, we use a face recognition algorithm to match the faces

arguments and studies related to the question they’re setting out to solve. Generally, these studies all provide evidence that face and object recognition are carried out by different processes in the brain in different specialized areas. The author of this paper wanted to dive into this question more specifically, aiming to find the precise area that this face recognition is processed in. Is there a specific area of the brain that is responsible for recognizing faces? More specifically, is the fusiform gyrus

discuss the possible introduction of Biometric Authentication to the Dynamic Safe Deposit business. The report will go over the possible use of Finger Vein or Facial Recognition technologies, a comparison of the technologies and a recommendation for the company’s future selection. A GENERAL DESCRIPTION OF BIOMETRIC AUTHENTICATION SYSTEMS A Biometric authentication is the process of verifying if a user or the identity of a user is who they claim to be; using digital biological information of the

for automatic detection and recognition of student during academics, followed by display of personal information of students. This application makes proper use of CCTV camera for real time face detection of students of particular college. The proposed application can be divided into four major steps. In first step, each person in the image is detected. In the second step, a face detection algorithm detects faces of each person. In third step, we use a face recognition algorithm to match the faces