'Facial recognition system' presentation slideshows

Face Recognition

Face Recognition. By: Thanh Do Warren Ju. What is Face Recognition?. Facial recognition systems are computer-based security systems that are able to automatically detect and identify human faces. .

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VISISYS

VISISYS. Visual Intelligence Systems 2007. Surveillance Technology: meeting your needs. Enhances current security investment Security operating system Open distributed architecture Event-driven system core Integration of multiple third party components Networks of unlimited scope.

266 views • 16 slides

Face Recognition

Face Recognition. By: Thanh Do Warren Ju. What is Face Recognition?. Facial recognition systems are computer-based security systems that are able to automatically detect and identify human faces.

374 views • 16 slides

Biometrics

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Top 6 Questions asked by Employees about Biometrics systems

Biometrics systems are need of every office and many times employee is unaware of its importance. So here Time Labs giving the answers of top 6 questions about biometrics systems normally asked employees. Time Labs is leading provider of Biometric Systems, Time & Attendance Software, Payroll Software and others.

206 views • 9 slides

Meet the Industry's Fastest and Most Accurate Security Systems in Bristol

Our Facial Recognition system in Bristol enhances security. It plays a very vital role in better security and work automation. Aside from unlocking your smart phone, facial recognition brings other benefits to the companies. The first thing to start with is close watch. With the help of facial recognition, it will be easier to track down any burglars, thieves, or other trespassers.

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Profile Identification through Face Recognition

This project is Profile identification through facial recognition system using machine learning, based on K neighbors algorithm. The K neighbours algorithm has high detection rate and fast processing time. Once the face is detected, feature extraction on the face is performed using histogram of oriented gradients which essentially stores the edges of the face as well as the directionality of those edges. Histogram of oriented gradients is an effective form of feature extraction due its high performance in normalizing local contrast. Lastly, training and classification of the facial databases is done where each unique face in the facial database is a class. We attempt to use this facial recognition system on two sets of databases and will analyse the results and then provide the profile of an individual which is written in the Data base created in Firebase. Mr. B. Ravinder Reddy | V. Akhil | G. Sai Preetham | P. Sai Poojitha "Profile Identification through Face Recognition" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23439.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/23439/profile-identification-through-face-recognition/mr-b-ravinder-reddy

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Multi-Camera Head Tracking for the Varrier Autostereo Display

Multi-Camera Head Tracking for the Varrier Autostereo Display. Jason Leigh, Luc Renambot , Javier Girado , Andrew Johnson, Dan Sandin , Tom DeFanti , Electronic Visualization Laboratory, Dept. of Computer Science Office of Naval Research and National Science Foundation.

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How Biometric Attendance and Access Control Systems are Changing Employee Tracking

Biometric technology captures unique traits or physical characteristics for individual identification. There are different biometric modalities such as fingerprint, iris, facial or voice recognition for employee authentication.

28 views • 1 slides