{"id":24154856,"url":"https://github.com/smaranjitghose/sightguardai","last_synced_at":"2026-05-10T01:57:30.711Z","repository":{"id":272069833,"uuid":"915435580","full_name":"smaranjitghose/SightGuardAI","owner":"smaranjitghose","description":"Capitalizing moondream's capabilities to build a CCTV frame-on-framer analyzer","archived":false,"fork":false,"pushed_at":"2025-01-11T20:55:26.000Z","size":0,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-11T21:34:45.241Z","etag":null,"topics":["computer-vision","llm","localllm","moondream","python","security","streamlit","vlm"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/smaranjitghose.png","metadata":{"files":{"readme":"README.MD","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-01-11T20:51:42.000Z","updated_at":"2025-01-11T20:56:34.000Z","dependencies_parsed_at":"2025-01-11T21:44:48.238Z","dependency_job_id":null,"html_url":"https://github.com/smaranjitghose/SightGuardAI","commit_stats":null,"previous_names":["smaranjitghose/sightguardai"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smaranjitghose%2FSightGuardAI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smaranjitghose%2FSightGuardAI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smaranjitghose%2FSightGuardAI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smaranjitghose%2FSightGuardAI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/smaranjitghose","download_url":"https://codeload.github.com/smaranjitghose/SightGuardAI/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241435116,"owners_count":19962399,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["computer-vision","llm","localllm","moondream","python","security","streamlit","vlm"],"created_at":"2025-01-12T12:26:13.158Z","updated_at":"2026-05-10T01:57:30.651Z","avatar_url":"https://github.com/smaranjitghose.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 👁️ SightGuardAI\n\nAn intelligent surveillance analysis tool that automatically detects and describes key events in video footage using Moondream Vision AI.\n\n## 🌟 Features\n\n* 🎬 Smart frame extraction from surveillance videos\n* 🤖 AI-powered scene description generation\n* 🎯 Intelligent key frame detection using similarity analysis\n* 📊 Comprehensive data visualization with interactive tables\n* ⌚ Precise timestamp tracking\n* 📈 Frame-by-frame similarity comparison\n* 🔄 Support for multiple video formats (MP4, AVI, MOV)\n* 📱 Clean, responsive web interface\n\n## 🖼️ Demo\n\n![Interface](./assets/demo_1_1.png)\n\n![Output](./assets/demo1_2.png)\n\n## 🔧 Prerequisites\n\n* Python 3.11 or higher\n* Web Browser\n* Moondream API key from [Moondream Console](https://console.moondream.ai) or download the model file from [here](https://docs.moondream.ai/specifications)\n\n## 📥 Installation\n\n1. Clone the repository:\n```bash\ngit clone https://github.com/smaranjitghose/sightguardai.git\ncd sightguardai\n```\n\n2. Create and activate virtual environment:\n```bash\n# Windows\npython -m venv env\n.\\env\\Scripts\\activate\n\n# Linux/Mac\npython3 -m venv env\nsource env/bin/activate\n```\n\n3. Install required packages:\n```bash\npip install streamlit moondream python-dotenv pillow opencv-python scikit-learn pandas\n```\n\n## 💡 Usage\n\n1. Launch the application:\n```bash\nstreamlit run app.py\n```\n\n2. Access the web interface:\n```\nhttp://localhost:8501\n```\n\n3. Enter your Moondream API key in the sidebar\n4. Upload a surveillance video file\n5. Click \"Analyze\" to begin processing\n6. View results in the interactive table and key frames grid\n\n## 🛠️ Troubleshooting\n\n1. **Memory Issues**\n   * Adjust frame extraction interval for longer videos\n   * Ensure sufficient system RAM\n   * Close other memory-intensive applications\n\n2. **API Errors**\n   * Verify API key validity\n   * Check internet connection\n   * Confirm API usage limits\n\n3. **Video Processing**\n   * Ensure video format compatibility\n   * Check file corruption\n   * Verify file permissions\n\n## 🤝 Contributing\n\nContributions are welcome! Please follow these steps:\n\n1. Fork the project\n2. Create your feature branch (`git checkout -b feature/AmazingFeature`)\n3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)\n4. Push to the branch (`git push origin feature/AmazingFeature`)\n5. Open a Pull Request\n\n## 📝 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n---\nMade with ❤️ by [Smaranjit Ghose](https://github.com/smaranjitghose)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsmaranjitghose%2Fsightguardai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsmaranjitghose%2Fsightguardai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsmaranjitghose%2Fsightguardai/lists"}