Facial face, for the last step I repeated the

Facial Recognition authentication is quickly spreading worldwide innovating the world into a more techonoligal place. It is currently being used across the world for multiple things such as withdrawing money from your bank account, applying filters to a photo, taking attendance, locating missing people, and unlocking your phone on a daily basis (Gupton). This newly growing technology helps improve security and promote less crimes. The artifact provides a visual representation of the scan and its key components within. It gives an idea of the steps taken complete this action. My artifact was made by using paint 3D, an application on Microsoft. First, I chose a pre made model of a face. From there, I customized and painted the face and its features. After that, I copy and pasted my face three times for each step. For the second step I put a blue box over,  for the third I designed lines across the face, for the last step I repeated the lines, but off the face. I labeled each step and added the title. Finally, I converted the file type into a PDF in order to turn it in. With this innovation growing daily it presents it’s benefits as well as it’s flaws. Facial recognition and its effects on society are well written and described in IJSRET article on facial recognition. Facial recognitions ability to minimize threat of identity theft and privacy is one of the major beneficial effects of its use. Take for example withdrawing money from an atm. Instead of having to put a pin which has just so many possibilities you use your face, a one of a kind feature. This will prevent anyone who tries to steal or hack into the account. In addition, facial recognition is largely used in criminal justice to find on the run criminals. Police officers can pull people over, take a picture and run it through a  facial recognition system to try and find matches for the person they are looking for (EEE). This promotes efficiency for finding offenders and also promotes safety. Although this may be true and extremely helpful this system is not as advanced to overcome certain obstacles. For example, if a person goes through drastic changes the system will tend to not recognize them. For example, facial hair, change in face due to accidents or health condition and even if they grew older all decreases the probability of entrance. Another disadvantage of companies using this is the price even large international banks and companies that are interested in using this are not willing to bear the costs for more sophisticated equipment and its maintenance (Patterson). According to a worldcore article on facial recognition in atms by Sean Patterson, there are two main approaches used. One is geometric where only particular features of the face are evaluated, this includes eyes, nose, cheekbones, mouth etc. The second approach is called photometric, where the data is read from other images from the database in order to find a match. Also, in an article by International Journal of Scientific Research Engineering & Technology (IJSRET), it conveys how there are steps to recognizing a face after the input. The first step is clearly capturing the persons face, this is the input. Next, the systems does extraction where it picks and chooses the parts it needs. This again are the keys parts of a person face, the eyes, nose , lips and so forth. After the extraction, the collected data is then compared with the existing templates in the database. Finally, when found a match it unlocks the account which is the output.  Growing technology in modern day like facial recognition has its problems as well. The system is proven to not be as advanced  where it can tell the difference between identical twins (Mashable). With this being true someone can manipulate themselves to deceive the facial recognizer in order to enter a device or an account.