exadel-inc/CompreFace
CompreFace
CompreFace is a facial recognition system designed for human face detection, identification, and biometric identity verification. It provides a registry of known people and the ability to match faces in images against this database to determine a specific identity.
The system extracts facial landmarks to map geometry and analyzes physical attributes including age, gender, and head pose. It can also verify whether two different images belong to the same individual.
The project is implemented as a microservice-based deployment utilizing a REST API gateway and a PostgreSQL metadata store. It includes role-based access control to manage user permissions and administrative settings.
Features
- Identity Matching - Matches detected faces against a registry of known individuals to determine their specific identity.
- Identity Verifications - Verifies whether two different images belong to the same person.
- Face Detection - Detects human faces within images and retrieves their coordinates.
- Face Embeddings - Generates numerical vector embeddings of faces to enable efficient identity matching via distance calculations.
- Face Recognition - Performs automated identification of individuals within image datasets by matching against known faces.
- Facial Recognition - Provides a comprehensive system for identifying individuals from digital images using biometric data.
- Biometric Verifications - Compares two faces to determine if they belong to the same person to confirm an identity.
- RESTful - Provides a RESTful API gateway to expose facial recognition and analysis features to external clients.
- Biometric Face Verification - Performs biometric face verification by matching an image against a known identity.
- Facial Analysis Tools - Extracts facial attributes including age, gender, and head pose to analyze a person's appearance.
- Facial Analysis Toolkits - Analyzes physical attributes such as age, gender, and head pose for facial data understanding.
- Facial Landmark Analysis - Maps geometric points on a face to track features and facial structure.
- Facial Landmark Detection - Identifies specific facial landmarks to map the geometry of a human face.
- PostgreSQL Persistence - Uses PostgreSQL to persist facial metadata and identity registries.
- Role-Based Access Control - Includes role-based access control to manage administrative settings and API permissions.
- Microservice Architectures - Utilizes a microservice architecture to decouple the API gateway and web interface from the machine learning models.
- رؤية الحاسوب - REST-based face recognition system for easy integration.
- Face Recognition and Analysis - Open-source face recognition service with REST API.
- Automation Tools - Listed in the “Automation Tools” section of the Awesome Selfhosted awesome list.
