• The project deals with detecting and recognizing faces of registered users in real-time from video feed, and once recognized, updates in a database(MySQL) with the date and time the user was detected.Flask is also used to create a webapp to display the data stored in the database.
• This project employs a LBPH (Local Binary Pattern Histogram) model to perform the facial recognition.
• This project can be used to provide effective real-time face recognition for security applications by accurately tracking and logging individuals.
Here is a demonstration of the recognizition process.
Given below is a showcase of the webapp displaying the database, with options to view all records or records of a specific person of interest.
