31-05-2021

-


                                  MODULE-3 

DATABASE

This Week we Established Database .We use FireBase which is a NOSQL Database .

We Used FireBase Because :

  • It provides User Authentication.
  • Provides Real-Time Cloud Storage.
  • Provides Flexible API for easy end developer Implementation.

Configuration of Database :

Once we create firebase , we get the credentials to acces the firebase features,without which we cannot work on it . The credential  is a json file which will be verified using certificate. All these are implemented using a python library provided by firebase called firebase_admin.
Below is the Code for Intializing Firebase.


User Authentication:

Every Enterprise using the product will be given a login credential. 
They can be authenticated from other accounts provided by google or other recognized organisations.
Therefore it is a fairly simple process for authentication. 
Below is an example.





Cloud Storage:

FireBase Provides Free Cloud Storage Where we can store our Data like Face encodings and Employee Details Securely.
Data can be Structured Easily with Collections and Documents. A Collection can contain Multiple documents and a Document can contain multiple Fields . Therefore It provides a proper hierarchy for storing related Data and Helps easily retrieve Data using Expressive Queries. 
An example of Data Heirarchy is shown Below.




Code Snippet:


The Above Code queries Image Data from Data Storage and converts them into numpy format.
The extracted Data is sent to the program for computations or recognition.

Comments

Post a Comment

Popular posts from this blog

04-07-0021

-
Image
This Weeks Progress. QUERYING FROM DATABASE Get the company collection in the Database From which Obtain attendance collection. Create a document for today's date to store attendance. QUERYING CURRENT DAY ENTRIES Database Example  Code snippet:                                    Where today is date of present date get() function downloads today's attendance document from Firebase.  It is downloaded as a Firebase document and program will convert into key value pair dictionary. Front end Display all entries of today in the desktop app. Eel fetches list of entries from python to JavaScript. We create a table to Display all entries. This explains the working and interaction of DB,python and Javascript.
Read more

Weekly Update: 10-05-2021

-
Image
Last Week we saw various Face detection Models,But the important thing is to recognize those detected Faces. There are various Face Recognition Models out there. After Various studies, We have Chosen Dlib's Face Recognition model for our Project.  Contribution: Tharun K -  Working of Euclidean Distance Prashanth K - Open source Face_Recognition/deepface  models Manjunath A - Code Implementation Hanumesh V T - Evaluating Test Cases.  How do we differentiate between Two Faces? Every Face has its own unique descriptors called Face Descriptors. The Above Image Shows Face Descriptors and their respective Values. These Values are Unique for every Face .  In Dlib's model, There are 128 Face Descriptors. These Descriptors are stored in a 128-Bit Array .So When Two Faces are to be compared ,It is Done using  Euclidean Distance. Fig. Formula to Measure Euclidean Distance. The Euclidean Distance tells us How Close or Similiar two given faces are. The Lower the distanc...
Read more