Facial Recognition Prototype
Features
Image Input
Capabiility to upload photos of 15 different Celebrities.
Face Detection
This step invovles identifying and recognising the Celebrities faces with the image that has been uploaded.
Feature Extraction
Once the faces are extracted, specific facial features are extracted to create a unique representation of each face. Also, Name features are extracted to identify the celebrity.
Matching and Recognition
When a new face is uploaded, its features are extracted , encoded and compared against the trained data. The application matches the features with those in the database. Once a match is found, the celebrity is recognised.
Database and Recognition Model
The encoded face data is stored in SQL Lite Database. This database contains all the information about the celebrities that was trained by the recognition model.
Technology Stack
| Category | Technology |
|---|---|
| FRAMEWORK | Django |
| USE CASE | Artificial Intelligence |
| CSS | Bootstrap 5.0 |
| DATABASE | SQL lite |
| LIBRARIES | OpenCV, Scikit-Learn, Numpy, Matplotlib |
| DEPLOYMENT | Heroku |