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T5-AirSnap

Accelerated by the COVID-19 pandemic, the benefits of contactless biometric technologies have become not only very obvious but in many instances a requirement. TECH5 introduces T5-AirSnap – a fully contactless biometric capture technology powered by AI and deep learning for face and fingerprint biometric modalities.

This latest innovation by TECH5 allows for accurate biometric acquisition by using the built-in camera of a smartphone, checking and enhancing the quality of the captured images, run a liveness check, and then package and send the data for verification or registration within seconds. The process ensures that the data is taken from a real person and that the image(s) are of acceptable quality and suitable for further processing. To be idoneous for use with legacy datasets we ensure the appropriate parameters to comply with the applicable standards and customer requirements.

T5-AirSnap eliminates the need for capture technology through purpose-built devices, making biometric capture functionality easily available on a ubiquitous platform like a smartphone, but its contactless mode of operation renders the process of capturing biometric data safe, a critical requirement during and after the pandemic, and can be successfully applied in a wide range of use cases both in the Government and Enterprise sectors. T5-AirSnap constitutes an innovative, high-quality and software-driven scanning functionality for the capture of biometrics, it is fully interoperable and can be easily integrated into existing infrastructure or ecosystems.

As a deployment package, T5-AirSnap technology is highly efficient and very light. It supports all the key wrappers that enable seamless integration with a wide range of customer infrastructure topologies.

T5-AirSnap is not only a product that solves pandemic-related concerns related to the usage of touch technologies. At TECH5 we had initiated this technology development with different objectives far before the pandemic: T5-AirSnap Finger is designed to increase the scalability of fingerprint-based solutions reducing the dependency on costly purpose-built hardware that traditionally drive costs in large-scale projects.

TECH5 took the novel approach of applying Artificial Intelligence(AI) and Machine Learning to algorithm development for fingerprint capture, inspired by our successful implementation of Machine Learning for facial recognition technology. It has resulted in high quality and speed, both in image capture and image processing, that efficiently prepares biometric data for further processing in compliance with interoperability standards.

T5-AirSnap Finger includes

Fingerprint detection;

Fingerprint capture;

Quality assessment;

Image processing

Liveness detection;

Packaging and sending the data;

The resulting data can be sent to a central identity management system (T5-ABIS or 3rd party) for registration, matching or verification. Alternatively, the data can be used for identity verification locally on the same mobile device with TECH5’s mobile fingerprint SDK or a third-party solution.

T5-AirSnap Face allows for fast and accurate capture of facial images within seconds using the camera of a smartphone. Effective built-in liveness detection combats fraudulent attempts – when a person presents an image or a video instead of a real face during capture.

T5-AirSnap Face operates efficiently even in varying lighting conditions and corrects for pose variations. This guarantees continuity of operation, every time selecting the best images for capture and packaging.

T5-AirSnap Face includes:

Face detection;

Pose capture;

Detection of possible artefacts (such as sunglasses and masks);

Face capture and image cropping;

Quality assessment;

Image processing

Liveness detection;

Packaging and sending the data;

The resulting data can be sent to a central identity management system (T5-ABIS or 3rd party) for registration, matching or verification. Alternatively, the data can be used for identity verification locally on the same mobile device with TECH5’s mobile face SDK or a third-party solution.

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