
PreFace™ is an SDK for automated biometric facial image capture, analysis, and quality assurance, integrating with various cameras for robust facial recognition and authentication.
Vendor
Aware
Company Website


PreFace™ is a biometric software development kit (SDK) that automates the capture and analysis of facial images to ensure high quality and standards compliance for applications such as facial recognition, biometric authentication, fraud prevention, and citizen ID systems. It features camera hardware abstraction, enabling integration with a wide range of digital, web, and industrial cameras, and supports compliance with ISO/IEC 19794-5 and ANSI/INCITS 385-2004 standards.
Key Features
Automated Facial Image Capture and Quality Assurance
- Automatically captures facial images when predefined quality criteria are met
- Analyzes live image streams or video for real-time quality assessment
- Triggers full-resolution image capture upon meeting quality thresholds
Image Processing and Compliance
- Performs automatic rotate, scale, and crop corrections according to configurable targets
- Ensures images meet ISO/IEC 19794-5 and ANSI/INCITS 385-2004 standards
- Reports image geometry, non-compliant features, and potential spoofing attempts
Camera Hardware Abstraction
- Integrates with market-leading digital, web, and industrial cameras
- Supports new camera models as they become available
- Simplifies application development by abstracting hardware specifics
Advanced Face Analysis
- Detects and analyzes multiple faces in a single image
- Estimates demographic qualities (age, race, sex)
- Estimates facial pose (yaw, pitch, roll)
- Optimizes brightness and contrast to compliance standards
Additional Functionality
- Notifies operators of non-compliant features before and after corrections
- Creates compliant biometric records for backend systems
- Supports spoof detection and liveness checks (in mobile versions)
Benefits
Enhanced Operational Efficiency
- Automates the image capture process, reducing manual intervention and errors
- Improves the speed and reliability of biometric enrollment and authentication
Improved Biometric Matching Performance
- Maximizes image quality for both human comparison and automated matching
- Screens and rejects non-compliant images at capture, reducing downstream errors
Flexible Integration and Scalability
- Hardware abstraction allows use with a wide range of cameras and devices
- Support for new cameras added through SDK updates
Compliance and Security
- Ensures biometric images meet international and government standards
- Supports fraud prevention and secure authentication applications