More news out of NVISONVISO announces a milestone release of its...

More news out of NVISO

NVISO announces a milestone release of its Neuro SDK for manufacturers building state-of-the-art AI-enabled human-machine interfaces.Following on from its announcement in July 2022 of successful neuromorphic interoperability with BrainChip Akida, NVISO is now announcing support for two new high performance AI Apps from its Human Behavior AI App catalogue, Gaze and Facial Action Unit Detection. NVISO is making available a full SDK release for manufacturers looking to provide mission critical human-interaction features meeting the most demanding performance, cost, and power budgets.Lausanne, Switzerland – Friday 16th December, 2022 – nViso SA (NVISO), the leading Human Behavioural Analytics AI company, is pleased to announce thatthrough the porting of additional AI Apps from its catalogue it hasfurther enhanced the range of Human Behavioural AI Apps that itsupports on the BrainChip Akida neuromorphic processing platform. These additions include Facial Action Units, Body Pose and Gesture Recognition on top of the Headpose, Facial Landmarks, Gaze and Emotion AI Apps previously announced. This increased capability supports the further deployment of NVISO Human Behavioural Analytics AI software solutions with target applications include Robotics, Automotive, Telecommunication, Infotainment, and Gaming..The SDK release supports the latest advancements for holistic platform for the analysis of complex emotions with Gaze and up to 58 Facial Action Units:This latest release of the SDK for use by solution developers will support performance evaluations and then implementation across an increased range of use case scenarios. As noted this support NVISO SA | NVS.PRE_2021.07.04_001 nviso.ai provides for deployment of a wide selection of NVISO’s existing range of real-time, deep learning-based AI Apps such as those used for face detection, gaze, head pose recognition, facial analysis, emotion recognition, object detection,gesture recognition and body pose analysis along with its new state of the art graph-based facial analysis for the analysis of complex emotions.