Biometric Facial Recognition

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United Smart Tracker is a state-of-the-art biometric solution designed for real-time face detection and recognition. Deep learning neural networks algorithms underlying in the principles of United Smart Tracker operation boost security at crowded areas.

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United Smart Tracker performs the facial recognition process by comparing facial features from given face image with face images within a database. Face images can be previously uploaded to the database from any source: photographs, video recordings, scanners, web cameras, photo cameras, CCTV cameras, etc. Biometric search can be performed both in real time and on request.

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United Smart Tracker face recognition algorithms adapt to lighting conditions and do not depend on appearance modifications related to aging, beard, hairstyle changes, etc.

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United Smart Tracker can be used for a wide range of potential applications:

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Airports and other transport hubs
Detect and track suspects in real time to immediately respond to potential threats and prevent panic

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City infrastructure
Search individuals through database of wanted persons to create a safer environment

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Stadiums and other sports venues
Prevent blacklisted individuals from entering sporting events or concerts

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Key Features and Advantages

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• Face detection in live stream

• Biometric search in real time and on request

• Flexible, easy to deploy, no extensive IT support required to implement

• Any face image source can be used for further facial recognition

• Face image quality evaluation according to ISO/IEC standard 19794-5

• Password-protected access and user rights administration

• User activity monitoring and logging

• Immediate alert notifications sending to operators’ desktops, by e-mail, and SMS

• Multi-user web-based interface

• HTTPS protocol to link United Smart Tracker components

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Technical Characteristics

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Accuracy

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97% of correct matches in case of 1% of false acceptance rate / 100% correctly matched facial samples in 1 million database in case of analysis by the operator 10 best results on the database according to ISO/IEC standard 19794-5

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Performance

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• Identification result in 1-3 seconds

• Biometric search in 1 million database in 3 seconds

• Minimal image requirements for facial recognition

• Pose up to +/-15˚ deviation from frontal image

• Batch input and integration with the existing databases

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Failure tolerance

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• Fully distributed architecture

• Back-up at all levels and redundancy

• Quick recovery and robustness to hardware malfunction