Biometric solutions provider HID’s imaging technology and U.ARE.U™ camera identification system now work with Amazon Rekognition, a fully managed computer vision cloud service in the identity verification process.
Capturing faces across widely changing light conditions, backgrounds, expressions, and demographics, HID’s technology is particularly well-suited to self-serve and POS applications deployed in hospitality, healthcare, sports, entertainment, retail, banking, government, and the transport sector.
The camera additionally leverages several onboard sensors to offer built-in liveness detection and can be deployed in ADA-compliant use cases, leveraging its wide vertical field of view.
HID now supports the following Amazon Rekognition capabilities:
- Amazon Rekognition Face Detection: predicts attributes such as bounding box size, pose, brightness, sharpness, eyes open, mouth open, and eyeglasses worn to determine face quality.
- Amazon Rekognition Face Comparison: measures the similarity of two faces to help you determine if they are the same person.
- Amazon Rekognition Face Index and Search: creates a face collection of existing users and searches new user selfie pictures.
“This successful collaboration is an example of our commitment to innovation and continued focus on creating value through our technologies,” says Vito Fabbrizio, Managing Director of the Biometrics Business Unit, Extended Access Technologies at HID. “We are proud to work with Amazon’s face recognition technology to meet the best possibleperformance in challenging environments, such as self-serve and point of sale. The goal is to enable the best possible customer experience without compromising on accuracy and security.”
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Visit https://aws.amazon.com/rekognition/.
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