Face-Detection-Face-Recognition

First Use Case : Access Control / ID Affectation / Distance Estimation

AUTO ENROLLMENT. (DEFAULT : Enabled)
- Enabled : The user is automatically added to the Database , if he is within the detection threshold.
- Disabled : The user is labeled as UNKNOWN whithin the detection threshold , Pressing S , adds the user to the Database.
ID AFFECTATION. (DEFAULT METHOD : Counter)
- Counter : Affect a an ID to a user based on a counter.
- UUID_Generator : Affect an ID to a user based on uuid.
DISTANCE THRESHOLD. (DEFAULT VALUE : 50)
- 50 : Distance at which detection process starts. the unit is CM.
FACE DETECTION MODEL. (DEFAULT VALUE : hog)
- hog : Better suited for normal machines. (FAST)
- cnn : Better preecision , but requires heavy computations. (USE ONLY WHITH A GPU)
NUMBER OF JIITERS. (DEFAULT VALUE : 1)
- 1 : Default value , how many times the each detected face will be distorted , and manipulated , HIGHER NUMBER == LOW FPS
DISTANCE ESTIMATION METHOD. (DEFAULT VALUE : Algebra)
- Algebra : Uses geometric formulas about eyes positions , to estimate the distance. (Better Estimation)
- Estimation : Uses special formula to estimate distance.
- Perimeter : Uses the opencv box perimeter to estimate distance.

Execute One time , when an UNKNOWN person gets within the detection distance , he wil automatically be enrolled and affected an ID .
This function triggers One time per user , after being added to the DB , and return its affected ID.
- Message Shown on the Console :
```
 [+] ==> UNKNOWN USER ADDED TO BD. 
 [+] AFFECTING ID : {} TO THE USER
```