Final Year Projects with Source Code Source Code Bundle

Final Year Projects with Source Code

Looking for a high-quality Final Year Project with complete sourcecode? CodingMSTR offers carefully developed software projects forComputer Science, IT, AI, Machine Learning, Web Development, Mobile AppDevelopment, and Full-Stack Engineering. Every project is designed tohelp students understand real-world software architecture, developmentpractices, and deployment while accelerating project completion.

import cv2

# Load the pre-trained face detection model from OpenCV

face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')

# Start the video capture from the webcam

cap = cv2.VideoCapture(0)

while True:

# Capture frame-by-frame

ret, frame = cap.read()

# Convert the frame to grayscale (face detection works better in grayscale)

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

# Detect faces in the frame

faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))

# Draw rectangles around the faces

for (x, y, w, h) in faces:

cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)

# Display the resulting frame

cv2.imshow('Face Detection', frame)

# Break the loop if 'q' is pressed

if cv2.waitKey(1) & 0xFF == ord('q'):

break

# Release the capture and close any open windows

cap.release()

cv2.destroyAllWindows()

Final Year Projects with Source Code

Python Face Detection Program

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Project Description

Demo Video