Lithuania Face Verification Tender

The Face Verification SDK is designed for integration of facial authentication into enterprise and consumer applications for mobile devices and PCs. The simple API of the library component helps to implement solutions like payment e-services and all other apps that need enhanced security through biometric face recognition while keeping their overall size small for easy deployment to millions of users.Different liveness detection functionalities are included to implement anti-spoofing mechanism with the possibility of configuring the balance between security and usability of the application.FEATURES AND CAPABILITIESCompact library for deployment on mobile devices.Based on VeriLook technology with millions of deployments worldwide.Simple high-level API.Privacy and security.Live face detection prevents spoofing.Android iOS Microsoft Windows macOS and Linux supported.Programming samples in multiple languages included.Reasonable prices flexible licensing and free customer support.The Face Verification SDK is intended for developing applications which perform end-user identity verification in mass scale systems like- online banking and e-shops- government e-services- social networks and media sharing services.The Face Verification SDK is based on the VeriLook algorithm which provides advanced face localization enrollment and matching using robust digital image processing algorithms based on deep neural networks. The SDK offers these features for large-scale identity verification systems- Simple high-level API. The API provides operations for creating face templates from camera or still image face verification against a specific previously created face template importing face templates which were created with VeriLook algorithm as well as performing face liveness check.- Privacy and security. The face images and biometric templates are kept on the client-side and do not leave the end-user device. The face images are required only for template creation and face liveness detection thus they can be disposed just after performing these operations.- Live face detection. A conventional face identification system can be tricked by placing a photo in front of the camera. Face Verification SDK is able to prevent this kind of security breach by determining whether a face in a video stream is live or a photograph. The liveness detection can be performed in passive mode when the engine evaluates certain facial features and in active mode when the engine evaluates users response to perform actions like blinking or head movements.- Face image quality determination. A quality threshold can be used during face enrollment to ensure that only the best quality face template will be stored into database.- Tolerance to face position. The Face Verification SDK allows head roll pitch and yaw variation up to 15 degrees in each direction from the frontal position during face detection and up to 45 degrees in each direction during face tracking.