Blog Synel UK
Welcome to the blog of Synel UK! Read the latest news about our company & new products.
The EduReg tablet app allows teachers and lecturers to use mobile, web enabled devices lor lesson and AM/PM registration.
The application allows for easy registration of students or staff using smart cards, QR reading or through manual entry. Allows for schools to use already owned tablets with having to spend more on additional data capturing hardware.
The EduReg Visitor Management module was designed for the education sector to replace existing paper visitor books system used at reception desks. It simplifies the process of signing visitors IN and OUT whilst increasing security, safeguarding students and staff, and improving health and safety measures.
Synel Industries’ biometric fingerprint time and attendance terminals utilises an algorithm and does not store the actual fingerprint image in the system. This means that no one will be able to extract a image to copy your fingerprint.Â Adam Wurf, communications director for ISS UK told the BBC: “With this technology we will be able to guarantee that the member of staff is who they say they are.”
Face recognition technology is considered the least intrusive and fastest biometric technology. It works with the most obvious individual identifie the human face.
Instead of requiring people to place their hand on a reader (a process not acceptable in some cultures as well as being a source of illness transfer) or precisely position their eye in front of a scanner, face recognition systems unobtrusively take pictures of people’s faces as they enter a defined area. This is done without intrusion or delay. Facial recognition also reduces the concerns of identity theft.
Facial recognition analyses the characteristics of a person’s face images input through a digital video camera. It measures the overall facial structure, including distances between eyes, nose, mouth, and jaw edges. These measurements are retained in a database and used as a comparison when a user stands before the camera. It is projected that biometric facial recognition technology will soon overtake fingerprint biometrics as the most popular form of user authentication due to its non intrusive nature.
Every face has numerous, distinguishable landmarks, the different peaks and valleys that make up facial features. Each human face has approximately 80 nodal points. Some of these measured by the Facial Recognition Technology are:
- Distance between the eyes
- Distance between eyebrows
- Width of the nose
- Depth of the eye sockets
- The shape of the cheekbones
- The length of the jaw line
These nodal points are measured creating a numerical code, called a faceprint, representing the face in the database. These faceprints are then saved as algorithms and stored in the database without the actual picture of the person’s face.
How it Works
The following four-stage process illustrates the way biometric systems operate:
- Capture -Â a physical or behavioral sample is captured by the system during enrollment
- Extraction -Â unique data is extracted from the sample and a template is created
- Comparison -Â the template is then compared with a new sample
- Matching -Â the system then decides if the features extracted from the new sample match or not
When the user faces the camera,Â standing about two feet from it, the system will locate the user’s face and perform matches against the claimed identity or the facial database. The system usually comes to a decision in less than 5 seconds.
One of the strongest positive aspects of facial recognition is that it is non-intrusive. Verification or identification can be accomplished from two feet away or more, and withoutÂ requiring the user to wait for long periods of time or do anything more than look at the camera. Face recognition is also very difficult to fool. It works by comparing facial landmarks – specific proportions and angles of defined facial features – which cannot easily be concealed by beards, eyeglasses or makeup. Face recognition ideal for high traffic areas open to the general public and also minimises physical contact and the potential spreading of germs.
Fingerprint recognition has been one of the most popular ways of automating authentication in the recent times. However, an incident that took place in Brazil on 12thMarch 2013 has demolished the reliability of this technology, forcing managements to look for a more foolproof way of identification or authentication. One technology that has emerged strongly is face recognition.