Lithuania Neurotechnology Releases Tender

Neurotechnology a provider of deep-learning-based solutions robotics and high-precision biometric identification technologies today announced the release of the second version of its SentiMask Software Development Kit SDK for real-time face tracking and masking 3D digital character control and other applications. The SentiMask 2.0 algorithm can detect and track a face in real time from a regular video stream such as a webcam or within a video file and does not require depth sensors or other special hardware.SentiMask 2.0 SDK now includes four different 3D morphable models of a human face one of which represents the entire head with the additional three face models varying between different types of topologies and resolutions.The SentiMask algorithm establishes a user-specific virtual face representation fitting the models through detection and tracking of specific facial points landmarks. The established model can be used as an animated avatar with a 3D face mesh and user-provided textures that respond to and move in concert with the users facial expressions. Additionally the model can be easily augmented with 3D accessories assets such as glasses hats etc.SentiMask 2.0 will also now detect and recognize attributes such as a users gender or age and can establish whether a person is wearing glasses or a hat or has a beard or a mustache. The detected attributes can be used in a wide range of scenarios from targeted advertising to statistical calculation.With the release of SentiMask 2.0 we wanted to widen the list of options developers have to choose from said Dr. Vilius Matiukas SentiMask project lead for Neurotechnology. We added several different 3D face models as well as additional attribute detection. These new features will expand the number of applications and uses to which SentiMask can contribute.In addition to mapping textures onto a persons face SentiMask SDK allows users to control the digital characters facial expressions lip movements and head orientation.The primary features of SentiMask 2.0 SDK includeReal-time face detection and trackingAttribute identification and detectionAge detectionGender detectionGlasses detectionHat detectionBeard detectionMustache detection3D facial pose detection2D facial landmark detection3D facial shape and expression generation creating a user-specific representation3D facial mesh outputFour different models available in different resolutions and topologies including a full head modelFacial expression analysis leftright eye closed leftright eyebrow up or down jaw moving left or right etc.. A total of twenty-three expressions can be identified.SentiMask 2.0 SDK supports C development environments under Windows Linux and Mac platforms as well as Android OS and iOS.SentiMask 2.0 SDK and the entire line of Neurotechnology products for AI robotics object recognition and biometric identification are available through Neurotechnology or from distributors worldwide.