HID adds Amazon Rekognition support to biometric camera for enhanced facial imaging
HID Global has teamed up with Amazon Web Services to enhance biometric face imaging capabilities by utilizing the Amazon Rekognition computer vision cloud service on its U.ARE.U camera system. This combined solution can be tailored to various environments where secure, scalable, and reliable identity verification is essential, according to a company announcement.
The camera module can be deployed in numerous settings, including self-service environments like kiosks, point-of-sale systems, and the healthcare and banking sectors. The integration of advanced face imaging and AI-powered analysis ensures accuracy in identity verification, thereby lowering the risk of fraud, HID says.
“The goal is to enable the best possible customer experience without compromising on accuracy and security,” says Vito Fabbrizio, managing director of the biometrics business unit, extended access technologies at HID.
The partnership uses various features of Amazon Rekognition. The service recognizes biometric faces in images and videos and can provide information on face position, landmarks, and attributes. Furthermore, it can analyze facial attributes to determine emotions, estimated age ranges, and other characteristics.
AWS Rekognition enables the camera system to compare a source face with one or more faces in target images to assess similarity, which is particularly useful for identity verification. This cloud-based software service also leverages multiple APIs to store face metadata and search for faces in a collection. The stored metadata includes details such as face ID, bounding box, and image ID.
According to HID Global, the U.ARE.U camera system is engineered to capture high-quality facial images in diverse lighting conditions and backgrounds across a wide range of expressions and demographics. The module is equipped with multiple sensors to enable built-in liveness detection, allowing it to determine whether the subject is a live person.
“This successful collaboration is an example of our commitment to innovation and continued focus on creating value through our technologies,” Fabbrizio adds.
Article Topics
Amazon Rekognition | Amazon Web Services (AWS) | cloud services | computer vision | facial recognition | HID | U.are.U
Comments