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| <title>Window Inspector - VitroBOT</title> |
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| <div class="container"> |
| <header> |
| <div class="badge">🤖 Reachy Mini App</div> |
| <h1>🪟 Window Inspector</h1> |
| <p class="tagline">AI-powered window cleanliness detection</p> |
| <p class="author">by <a href="https://vitrobot.site" target="_blank">VitroBOT</a> | Autonomous Facade Cleaning Robotics</p> |
| </header> |
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| <section class="features"> |
| <h2>How it works</h2> |
| <div class="feature-grid"> |
| <div class="feature"> |
| <div class="icon">🔍</div> |
| <h3>1. Scan</h3> |
| <p>Reachy rotates its head from -60° to +60° scanning the room</p> |
| </div> |
| <div class="feature"> |
| <div class="icon">🪟</div> |
| <h3>2. Detect</h3> |
| <p>AI vision (Gemini 2.0) identifies windows in each frame</p> |
| </div> |
| <div class="feature"> |
| <div class="icon">🧹</div> |
| <h3>3. Analyze</h3> |
| <p>Determines if each window is clean or dirty with confidence %</p> |
| </div> |
| <div class="feature"> |
| <div class="icon">📢</div> |
| <h3>4. Report</h3> |
| <p>Announces: "This window needs cleaning!" or "Clean ✓"</p> |
| </div> |
| </div> |
| </section> |
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| <section class="tech-stack"> |
| <h2>Technology</h2> |
| <div class="tech-items"> |
| <div class="tech-item"> |
| <strong>Vision AI</strong> |
| <span>Google Gemini 2.0 Flash</span> |
| </div> |
| <div class="tech-item"> |
| <strong>Detection</strong> |
| <span>Zero-shot window recognition</span> |
| </div> |
| <div class="tech-item"> |
| <strong>Analysis</strong> |
| <span>Clean vs dirty classification</span> |
| </div> |
| <div class="tech-item"> |
| <strong>Confidence</strong> |
| <span>Real-time scoring (0-100%)</span> |
| </div> |
| </div> |
| </section> |
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| <section class="install"> |
| <h2>Installation</h2> |
| <code>pip install reachy_mini_window_inspector</code> |
| <p class="install-note">Or install directly from the Reachy Mini dashboard</p> |
| </section> |
|
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| <section class="about"> |
| <h2>About VitroBOT</h2> |
| <p>We're building <strong>autonomous robots for facade cleaning</strong> | eliminating 200+ annual worker deaths while cutting costs 6-10x.</p> |
| <p>This app demonstrates our computer vision expertise adapted for home robotics. The same AI technology powers our 20kg facade-cleaning robots that work on existing building infrastructure.</p> |
| <div class="stats"> |
| <div class="stat"> |
| <span class="number">$40B</span> |
| <span class="label">Global Market</span> |
| </div> |
| <div class="stat"> |
| <span class="number">6-10x</span> |
| <span class="label">Cost Reduction</span> |
| </div> |
| <div class="stat"> |
| <span class="number">200+</span> |
| <span class="label">Lives Saved/Year</span> |
| </div> |
| </div> |
| </section> |
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| <footer> |
| <p>Made with ❤️ by <a href="https://vitrobot.site">VitroBOT</a></p> |
| <p class="links"> |
| <a href="https://twitter.com/enguerandvitro">@enguerandvitro</a> |
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