All about Facial Recognition Technology.
                     All about Facial 
Recognition Technology
Introduction
 Facial recognition is a class of biometric programming that 
maps a person's facial highlights scientifically and stores 
the information as a face print. 
 The product utilizes profound learning calculations to think 
about a live catch or computerized picture to the put away 
face print so as to confirm a person's character.
How does it work ?
 The product recognizes 80 nodal points on a human face. 
 Nodal points are endpoints used to quantify factors of an 
individual's face, for example, the length or width of the 
nose, the profundity of the eye attachments and the state of 
the cheekbones.
Step-1
 An image of your face is caught from a photograph or 
video. 
 Your face may show up alone or in a group. Your picture 
may give you looking straight ahead or almost in profile.
Step-2
 Facial recognition peruses the geometry of your face. Key 
elements incorporate the separation between your eyes and 
the good ways from temple to jaw. 
 The product recognizes facial tourist spots, where one 
framework recognizes 68 of them that are vital to 
recognizing your face. The outcome: your facial mark.
Step-3
 Your facial mark, a scientific equation is contrasted with a 
database of known countenances. 
 Furthermore, think about this: in any event 117 million 
Americans have pictures of their appearances in at least 
one police database. As indicated by a May 2018 report, the 
FBI has approached 412 million facial pictures for the look. 
Step-4
 An assurance is made. Your face print may coordinate that 
of a picture in a facial acknowledgment framework 
database.
Facial Recognition For whom ?
Mostly found in the below areas:
 Crowded airports
 Mobile phones
 Colleges
 Companies
 Worship places
Reasons to be concerned about Privacy
Here are some:
Security
Prevalence
Ownership
Safety
Mistaken identity
Benefits
1. No need to physically contact a device for 
authentication
2. Improved level of security
3. Requires less processing compared to other 
biometric authentication techniques.
4. Easy to integrate with existing security 
features
5. Accuracy of readings has improved over time
6. Can be used to help automate authentication