Development of Security System using Facial Recognition
نویسندگان
چکیده
Security is generally a state or feeling of being saved and protected, an assurance that something of value will not be taken. This paper employs two of the emerging artificial intelligence technologies: Facial Recognition and Artificial Neural Networks for developing a secure keyless door where authentication of authorized faces are the only guarantee for entry. This mechanically built door, with a camera, has an interface with the PC for capturing and processing images. (
منابع مشابه
Hybridization of Facial Features and Use of Multi Modal Information for 3D Face Recognition
Despite of achieving good performance in controlled environment, the conventional 3D face recognition systems still encounter problems in handling the large variations in lighting conditions, facial expression and head pose The humans use the hybrid approach to recognize faces and therefore in this proposed method the human face recognition ability is incorporated by combining global and local ...
متن کاملFacial Expression Recognition Based on Structural Changes in Facial Skin
Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...
متن کاملImproving Two-Factor Authentication Usability with Sensor-Assisted Facial Recognition
Two-factor authentication is often considered by users as annoying, hard to use and time consuming due to their complexity and implementation this often leads to users making usability-focused decisions at the expense of security. We believe the development of biometric recognition technology allows for an improvement in the way we implement twofactor authentication systems. In this paper we st...
متن کاملAnalysis and Synthesis of Facial Expressions by Feature-Points Tracking and Deformable Model
Face expression recognition is useful for designing new interactive devices offering the possibility of new ways for human to interact with computer systems. In this paper we develop a facial expressions analysis and synthesis system. The analysis part of the system is based on the facial features extracted from facial feature points (FFP) in frontal image sequences. Selected facial feature poi...
متن کاملImplementation of an Improved Facial Recognition Algorithm in a Web based Learning System
The study focuses on proffering solution to some identified data insecurity problems in software development using Webbased learning system as a test bed, by development of an hybrid crypto-biometric security system, and the use of an enhanced eigen-based facial recognition algorithm. The methodology is by implementation of an optimized principal component analysis eigen facial recognition algo...
متن کاملDevelopment of a Microcontroller-Controlled Security Door System
Over the years, several security measures have been employed to combat the menace of insecurity of lives and property. This is done by preventing unauthorized entrance into buildings through entrance doors using conventional and electronic locks, discrete access code, and biometric methods such as the finger prints, thumb prints, the iris and facial recognition. In this paper, a prototyped door...
متن کامل