Spaces:

openfree
/

FACE-DETECTOR

Running

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openfree commited on Mar 12

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321c533

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1 Parent(s): 182acad

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index.html +266 -19

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-<!doctype html>
-<html>
-	<head>
-		<meta charset="utf-8" />
-		<meta name="viewport" content="width=device-width" />
-		<title>My static Space</title>
-		<link rel="stylesheet" href="style.css" />
-	</head>
-	<body>
-		<div class="card">
-			<h1>Welcome to your static Space!</h1>
-			<p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
-			<p>
-				Also don't forget to check the
-				<a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
-			</p>
-		</div>
-	</body>
-</html>

+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Smart Home Security - Face Recognition</title>
+    <script src="https://cdn.jsdelivr.net/npm/face-api.js"></script>
+    <style>
+        :root {
+            --primary: #2962ff;
+            --dark: #1a237e;
+            --light: #f5f5f5;
+            --success: #00c853;
+            --danger: #d50000;
+        }
+        * {
+            margin: 0;
+            padding: 0;
+            box-sizing: border-box;
+            font-family: 'Segoe UI', sans-serif;
+        }
+        body {
+            background: var(--light);
+            min-height: 100vh;
+        }
+        .container {
+            max-width: 1200px;
+            margin: 0 auto;
+            padding: 20px;
+        }
+        .header {
+            background: var(--dark);
+            color: white;
+            padding: 1rem;
+            border-radius: 10px;
+            margin-bottom: 2rem;
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+        }
+        .main-content {
+            display: grid;
+            grid-template-columns: 2fr 1fr;
+            gap: 2rem;
+        }
+        .video-container {
+            background: white;
+            padding: 20px;
+            border-radius: 10px;
+            box-shadow: 0 4px 6px rgba(0,0,0,0.1);
+        }
+        #video {
+            width: 100%;
+            border-radius: 5px;
+        }
+        .controls {
+            background: white;
+            padding: 20px;
+            border-radius: 10px;
+            box-shadow: 0 4px 6px rgba(0,0,0,0.1);
+        }
+        .status {
+            text-align: center;
+            padding: 1rem;
+            margin: 1rem 0;
+            border-radius: 5px;
+            font-weight: bold;
+        }
+        .status.authorized {
+            background: var(--success);
+            color: white;
+        }
+        .status.unauthorized {
+            background: var(--danger);
+            color: white;
+        }
+        .btn {
+            background: var(--primary);
+            color: white;
+            border: none;
+            padding: 10px 20px;
+            border-radius: 5px;
+            cursor: pointer;
+            transition: 0.3s;
+            width: 100%;
+            margin: 5px 0;
+        }
+        .btn:hover {
+            background: var(--dark);
+        }
+        .registered-faces {
+            margin-top: 2rem;
+        }
+        .face-item {
+            display: flex;
+            align-items: center;
+            padding: 10px;
+            background: #f8f9fa;
+            margin: 5px 0;
+            border-radius: 5px;
+        }
+        .face-item img {
+            width: 50px;
+            height: 50px;
+            border-radius: 50%;
+            margin-right: 10px;
+        }
+        .loading {
+            position: fixed;
+            top: 0;
+            left: 0;
+            right: 0;
+            bottom: 0;
+            background: rgba(0,0,0,0.8);
+            display: flex;
+            justify-content: center;
+            align-items: center;
+            color: white;
+            font-size: 1.2rem;
+        }
+        @keyframes spin {
+            to { transform: rotate(360deg); }
+        }
+        .spinner {
+            width: 40px;
+            height: 40px;
+            border: 4px solid #f3f3f3;
+            border-top: 4px solid var(--primary);
+            border-radius: 50%;
+            animation: spin 1s linear infinite;
+            margin-right: 10px;
+        }
+    </style>
+</head>
+<body>
+    <div class="container">
+        <div class="header">
+            <h1>🏠 Smart Home Security</h1>
+            <div>System Status: <span id="system-status">Active</span></div>
+        </div>
+        <div class="main-content">
+            <div class="video-container">
+                <video id="video" autoplay muted></video>
+                <div class="status" id="access-status">Waiting for face detection...</div>
+            </div>
+            <div class="controls">
+                <h2>Control Panel</h2>
+                <button class="btn" id="add-face">Add New Face</button>
+                <button class="btn" id="test-detection">Test Detection</button>
+                <div class="registered-faces">
+                    <h3>Registered Users</h3>
+                    <div id="faces-list">
+                        <!-- Registered faces will be listed here -->
+                    </div>
+                </div>
+            </div>
+        </div>
+    </div>
+    <div class="loading" id="loading" style="display: none;">
+        <div class="spinner"></div>
+        Loading face detection models...
+    </div>
+    <script>
+        // Mock database of registered faces
+        const registeredFaces = [
+            { id: 1, name: 'John Doe', image: 'data:image/jpeg;base64,/9j/4AAQSkZJRg==' },
+            { id: 2, name: 'Jane Smith', image: 'data:image/jpeg;base64,/9j/4AAQSkZJRg==' }
+        ];
+        // Initialize face detection
+        async function initFaceDetection() {
+            try {
+                document.getElementById('loading').style.display = 'flex';
+                // Load face-api models (in real implementation)
+                // await faceapi.nets.tinyFaceDetector.loadFromUri('/models');
+                // await faceapi.nets.faceLandmark68Net.loadFromUri('/models');
+                // await faceapi.nets.faceRecognitionNet.loadFromUri('/models');
+                // Access webcam
+                const video = document.getElementById('video');
+                const stream = await navigator.mediaDevices.getUserMedia({ video: true });
+                video.srcObject = stream;
+                document.getElementById('loading').style.display = 'none';
+            } catch (error) {
+                console.error('Error initializing face detection:', error);
+                document.getElementById('loading').style.display = 'none';
+            }
+        }
+        // Simulate face detection
+        function detectFace() {
+            const accessStatus = document.getElementById('access-status');
+            const isAuthorized = Math.random() > 0.5; // Simulate detection
+            if (isAuthorized) {
+                accessStatus.textContent = 'Access Granted ✅';
+                accessStatus.className = 'status authorized';
+            } else {
+                accessStatus.textContent = 'Access Denied ❌';
+                accessStatus.className = 'status unauthorized';
+            }
+        }
+        // Display registered faces
+        function displayRegisteredFaces() {
+            const facesList = document.getElementById('faces-list');
+            facesList.innerHTML = registeredFaces.map(face => `
+                <div class="face-item">
+                    <img src="${face.image}" alt="${face.name}">
+                    <div>
+                        <h4>${face.name}</h4>
+                        <small>ID: ${face.id}</small>
+                    </div>
+                </div>
+            `).join('');
+        }
+        // Event listeners
+        document.getElementById('add-face').addEventListener('click', () => {
+            const name = prompt('Enter name for new face:');
+            if (name) {
+                registeredFaces.push({
+                    id: registeredFaces.length + 1,
+                    name,
+                    image: 'data:image/jpeg;base64,/9j/4AAQSkZJRg=='
+                });
+                displayRegisteredFaces();
+            }
+        });
+        document.getElementById('test-detection').addEventListener('click', detectFace);
+        // Initialize application
+        window.addEventListener('load', () => {
+            initFaceDetection();
+            displayRegisteredFaces();
+        });
+    </script>
+</body>
+</html>