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.
The program complies with all employee privacy laws and employee-related data is extreme difficult to decrypt and almost impossible to obtain. Each company has its own personal internal rules governing security and safety issues within the company and according to these rules the program can be configured.
Who uses facial recognition
A lot of people and organizations use facial recognition — and in a lot of different places. Here’s a sampling:
- U.S. government at airports. Facial recognition systems can monitor people coming and going in airports. The Department of Homeland Security has used the technology to identify people who have overstayed their visas or may be under criminal investigation. Customs officials at Washington Dulles International Airport made their first arrest using facial recognition in August of 2018, catching an impostor trying to enter the country.
- Mobile phone makers in products. Apple first used facial recognition to unlock its iPhone X, and has continued with the technology with the iPhone XS. Face ID authenticates — it makes sure you’re you when you access your phone. Apple says the chance of a random face unlocking your phone is about one in 1 million.
- Colleges in the classroom. Facial recognition software can, in essence, take roll. If you decide to cut class, your professor could know. Don’t even think of sending your brainy roommate to take your test.
- Social media companies on websites. Facebook uses an algorithm to spot faces when you upload a photo to its platform. The social media company asks if you want to tag people in your photos. If you say yes, it creates a link to their profiles. Facebook can recognize faces with 98 percent accuracy.
- Businesses at entrances and restricted areas. Some companies have traded in security badges for facial recognition systems. Beyond security, it could be one way to get some face time with the boss.
- Religious groups at places of worship. Churches have used facial recognition to scan their congregations to see who’s present. It’s a good way to track regulars and not-so-regulars, as well as to help tailor donation requests.
- Retailers in stores. Retailers can combine surveillance cameras and facial recognition to scan the faces of shoppers. One goal: identifying suspicious characters and potential shoplifters.
- Airlines at departure gates. You might be accustomed to having an agent scan your boarding pass at the gate to board your flight. At least one airline scans your face.
- Marketers and advertisers in campaigns. Marketers often consider things like gender, age, and ethnicity when targeting groups for a product or idea. Facial recognition can be used to define those audiences even at something like a concert.