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README.md

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<p align="center">
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<img src="https://img.shields.io/badge/Python-3776AB?style=for-the-badge&logo=python&logoColor=white" alt="Python"/>
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<img src="https://img.shields.io/badge/FaceRecognition-%23007ACC?style=for-the-badge&logo=python&logoColor=white" alt="FaceRecognition"/>
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<img src="https://img.shields.io/badge/InsightFace-%23007ACC?style=for-the-badge&logo=python&logoColor=white" alt="InsightFace"/>
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<img src="https://img.shields.io/badge/MongoDB-47A248?style=for-the-badge&logo=mongodb&logoColor=white" alt="MongoDB"/>
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<img src="https://img.shields.io/badge/React-20232A?style=for-the-badge&logo=react&logoColor=61DAFB" alt="React"/>
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<img src="https://img.shields.io/badge/Uvicorn-2C3E50?style=for-the-badge&logo=fastapi&logoColor=white" alt="Uvicorn"/>
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* **MongoDB:** A document-oriented NoSQL database chosen for its scalability in managing complex data structures, such as relative registries and biometric vectors.
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### Computer Vision (AI)
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* **Face Recognition (Python Lib):** The biometric recognition engine. This library maps and identifies known faces with a high degree of reliability.
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* **InsightFace:** Advanced face recognition framework providing state-of-the-art face detection and embedding extraction. The system uses InsightFace's pre-trained models to map and identify known faces with high accuracy and reliability. The engine supports GPU acceleration (CUDA, CoreML, DML) when available, with automatic fallback to CPU execution.
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## Installation
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docs/models/person.md

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::: app.models.person.Person
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docs/scripts/insertdata.md

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::: app.insertdata.main
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docs/services/database.md

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::: app.services.database.Database
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docs/services/recognition.md

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::: app.services.recognition.FaceEngine
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docs/utils/constants.md

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::: app.utils.constants.RoleType
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docs/utils/img.md

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::: app.utils.img.ImgValidation
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frontend/src/components/CameraToggle.js

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frontend/src/components/DebugInfo.js

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frontend/src/components/FaceBox.js

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