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feat: initial implementation of People Counter web app

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- Add Flask application with MJPEG video streaming
- Implement OpenCV DNN face detection module
- Add zone-based entry/exit tracking with cooldown mechanism
- Create web interface with real-time WebSocket updates
- Add model download script and comprehensive README
- Include OpenCV DNN model files for face detection
This commit is contained in:
Edgar
2026-01-20 00:44:06 +01:00
commit 432f0378bf
13 changed files with 3089 additions and 0 deletions
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templates/index.html Normal file
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>People Counter</title>
<link rel="stylesheet" href="{{ url_for('static', filename='css/style.css') }}">
</head>
<body>
<div class="container">
<header>
<h1>People Counter</h1>
<p class="subtitle">Real-time occupancy tracking</p>
</header>
<main>
<div class="video-section">
<div class="video-container">
<img id="videoStream" src="{{ url_for('video_feed') }}" alt="Video Stream">
<div id="statusIndicator" class="status-indicator"></div>
</div>
</div>
<div class="stats-section">
<div class="stat-card" id="occupancyCard">
<div class="stat-label">Current Occupancy</div>
<div class="stat-value" id="occupancyValue">0</div>
<div class="stat-subtitle" id="occupancyStatus">Normal</div>
</div>
<div class="stat-card">
<div class="stat-label">Total Entered</div>
<div class="stat-value stat-entered" id="enteredValue">0</div>
</div>
<div class="stat-card">
<div class="stat-label">Total Exited</div>
<div class="stat-value stat-exited" id="exitedValue">0</div>
</div>
</div>
<div class="controls-section">
<button id="resetButton" class="reset-btn">Reset Counts</button>
</div>
</main>
<footer>
<p>People Counter System - Real-time face detection and tracking</p>
</footer>
</div>
<script src="https://cdn.socket.io/4.5.4/socket.io.min.js"></script>
<script src="{{ url_for('static', filename='js/main.js') }}"></script>
</body>
</html>