face detection project in java with source code

It has live date and time functionality.The paid version is a much more refined version.Line 163-165: Our main function which runs the Flask App.įont-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif ĭownload the Source code for the Free version of Face Recognition-based Attendance System Paid Version:.Line 129-160: This function will run when we add a new user.Line 103-126: This function will run when we click on Take Attendance Button.Line 96-100: Our main page routing function.Line 82-91: A function that adds the Attendance of a specific user in our today’s Attendance file.Line 72-79: A function that extracts info from today’s attendance file in the attendance folder.Line 55-69: A function that trains the model on all the faces available in the faces folder.Line 49-52: A function that Identifies face using ML model.Line 42-46: A function that extracts the face from an image.Line 37-39: A function that calculates the number of total registered users.Line 27-34: Checking if the required folders are in place or not, If not create them.

Line 22-24: Initializing VideoCapture object to access WebCam.Line 15-19: Functions that return today’s date strings to use in the program ahead.Line 1-9: We are importing the required libraries.# Our main function which runs the Flask App Return render_template('home.html',names=names,rolls=rolls,times=times,l=l,totalreg=totalreg(),datetoday2=datetoday2) Names,rolls,times,l = extract_attendance() # If these directories don't exist, create them # Initializing VideoCapture object to access WebCamįace_detector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') # Saving Date today in 2 different formatsĭatetoday = date.today().strftime('%m_%d_%y')ĭatetoday2 = date.today().strftime('%d-%B-%Y') Code files for our Face Recognition-based Attendance System app.py import cv2įrom flask import Flask,request,render_templateįrom sklearn.neighbors import KNeighborsClassifier

Face detection project in java with source code