This information is then used to identify recognizable features on the surface of the face, such as the contours of the eye sockets, nose and chin. One of the advantages of 3D face recognition is that it is not affected by changes in lighting like other techniques. It can also identify a face from a range of viewing angles, including profile display. Three-dimensional facial data points greatly improve the accuracy of facial recognition. We use our algorithm that allows us to even recognize a person with altered facial expression (eg wearing a beard, scarf, sunglasses, dental procedures that have caused a change in facial structure, etc.). Our algorithm works on the principle of calculating the rest of the face, for example if a person gets the following hash a1b1c1d1f1e1g1 during scanning and enters the person and provides only partial information (for the above reasons, glasses, beard, etc.) which reads a1b1c1d1, our program will look at base and in a split second find the appropriate result for the second part of the missing information (in this case we are missing f1e1g1) will add the appropriate string to the initial string of information, recognize the user and allow him to enter.
TIMELINE also does advanced items such as, collecting employee working hours, building entry statistics, each employee’s exit from the building in a specific time interval, number of working hours, number of overtime hours, etc. With our program it is also possible to define movement zones for each employee eg person A can move in zones A, B, C while person B can move in zones A and C etc.