REAL-TIME FACE DETECTION AND COUNTING USING MATLAB

A flexible dual-mode face detection system is implemented, allowing users to select between live webcam detection or static image processin

clc;
clear;
close all;
% Mode Selection
choice = menu('Select Mode','Live Webcam Detection','Detect from Image');
% Create a face detector object
faceDetector = vision.CascadeObjectDetector();
if choice == 2
    %Image mode
    [file, path] = uigetfile({'*.jpg;*.png;*.bmp'}, 'Select an image');
    if isequal(file, 0)
        disp('No image selected.');
        return;
    end
    img = imread(fullfile(path, file));
    bboxes = step(faceDetector, img);
    numFaces = size(bboxes, 1);
    for i = 1:numFaces
        label = sprintf('Face %d', i);
        img = insertObjectAnnotation(img, 'rectangle', bboxes(i,:), label);
    end
    img = insertText(img, [10, 10], ['Total Faces: ', num2str(numFaces)], ...
        'FontSize', 18, 'BoxColor', 'green', 'BoxOpacity', 0.6);
    figure('Name','Face Detection - Image','NumberTitle','off');
    imshow(img);
elseif choice == 1
    %live web cam mode
    cam = webcam();
    figure('Name','Live Face Detection Counter','NumberTitle','off');
    while true
        frame = fliplr(snapshot(cam)); %fix mirror issue
        bboxes = step(faceDetector, frame);
        numFaces = size(bboxes, 1);
        for i = 1:numFaces
            label = sprintf('Face %d', i);
            frame = insertObjectAnnotation(frame, 'rectangle', bboxes(i,:), label);
        end
        labelCount = ['Total Faces: ', num2str(numFaces)];
        frame = insertText(frame, [10 10], labelCount, 'FontSize', 18, ...
            'BoxColor', 'green', 'BoxOpacity', 0.6);
        imshow(frame);
        % Exit on key press
        if ~isempty(get(gcf,'CurrentCharacter'))
            break;
        end
        drawnow;
    end
    % Clean up
    clear cam;
    close all;
else
    disp('No option selected. Exiting.');
end