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GridID: Multimodal Biometric Identification System
GridID is a unified biometric identification and analysis platform designed for law enforcement agencies and forensic laboratories dealing with organized crime, fraud, corruption, terrorism and other types of security threats.
Product Library:
Features
- Streamlined process of biometric samples gathering and enrollment
- Investigative functionality:
- automatic search and identification by voice, face and other biometric patterns
- real-time multi-thread analysis and identification of voices in calls
- voice data processing: keyword search in speech recordings, speech recognition (Speech-to-Text), speaker’s language and gender detection
- Forensic analysis:
- biometric data verification and reporting for legal proceedings
- noise cancellation and speech enhancement
- authenticity analysis of voice and video recordings
- Report generation and monitoring performance of users and systems
Advantages
- Full cycle of biometric analysis: from sample collection to a court report generation
- Automatic language and gender identification, keyword spotting and speech-to-text conversion
- Automatic speech detection and segmentation
- Scalable centralized or distributed architecture
- Ready for integration with external systems or additional biometric parameters
- Automatic pre-processing and indexing of biometric patterns and quality control
- Flexible modular structure to meet particular needs of every department
Performance
Voice biometrics
- Up to 100k processed calls per day (for 16 cores processing server, avg. 2 min. calls duration)
- Biometric processing time = 35RT . Up 10,000 biometric comparisons per sec (1 core)
- EER of GridID.ScanRT = 5% (for 2 minutes average call duration)
- EER of GridID.Scan = 1,5% (for comparison of models built on pure voice samples duration more than 96 sec)
Face biometrics
- Calculation of sample = 230 ms
- Speed of comparison = 1000k per sec
- Sample detection avg. error = 5% (of eye distance)
- EER of verification = ~0.5%: FA (FR=10e-5) depending on quality of patterns