Agreement to develop Interactive Digital Avatars
24th January, 2023
NVISO Japan KK (“NVISO”) and Unith Ltd (“UNITH”) have signed a binding Heads of Agreement outlining how Unith and NVISO will collaborate to integrate their respective technologies to demonstrate and then deliver an Interactive Digital Avatar and will promote and sell this solution in the Japanese market targeting products such as digital kiosks.
Click here to register for NVISO Webinar on Gaming and Avatars
Yokohama, Japan – 24th January 2023 – NVISO Japan KK (NVISO), a Japanese subsidiary of NVISO SA, the leading Human Behavioural Analytics AI company, is pleased to announce it has signed a binding Heads of Agreement with Unith Ltd (“UNITH” ) to integrate behavioural analytics into digital humans in conversational settings for deployment into digital kiosks in Japan.
The HOA will provide NVISO with access to UNITH’s Talking Head platform for the purpose of building integrations into NVISO’s holistic platform that features predictive analytics tied to emotional and transactional outcomes. The integrations will be designed to deliver interactive digital avatars that are able to understand various behavioural and emotional facets of its interactors through eye tracking and facial detection. The collaboration will be assisted by the BonAPPs program which will accelerate development work by providing a €74,000 (approx. $A117,000) grant to the project.
UNITH CEO, Idan Schmorak commented: “UNITH is excited to be partnering with NVISO on this collaboration which will initially target Japan. The Japanese market is well established for automation through computer-to-human interactions with digital characters and NVISO’s presence and expertise in Japan brings significant added value to the partnership”. “By deploying a digital avatar to a kiosk and humanising it with behavioural detection, we will deliver an AI solution that can know how a human is feeling, understand their attentiveness and facilitate an outcome accordingly. This step is consistent with UNITH’s distribution strategy to scale the reach of the Talking Head technology while developing the platform.”
NVISO delivers solutions for a wide range of use cases including those in the areas of Smart Living, Smart Mobility and Smart Health. This is achieved through a range of AI Apps providing visual observation, perception and semantic reasoning capabilities, in supporting autonomous “human like” interactions.
NVISO AI Apps are specifically designed for resource constrained low-power and low-memory hardware platforms deployed at the extreme edge. These AI Apps analyse core signals of human behaviour, such as body movements, facial expressions, emotions, identity, head pose, gaze, eye state, gestures or activities, and identify objects with which users interact. In addition, these AI Apps can be optimised for typically resource constrained, low power and low-cost processing platforms deployed on the edge, as demonstrated with ultra-compact models such as the Emotion Recognition AI App with less than 100KB of memory. Furthermore, NVISO AI Apps can be easily configured to suit specific camera systems for optimal performance in terms of distance and camera angle, and thanks to NVISO’s large scale proprietary human behaviour databases NVISO’s AI Apps are robust to the imaging conditions often found in real world deployments. Unlike cloud-based solutions, NVISO’s solutions do not require information to be sent off-device for processing elsewhere so user privacy and safety can be protected.
“Increasing efforts by customer-centric firms to provide emotionally engaging experiences to customers is a key factor driving adoption of digital human avatars globally” said Colin Mason, Country Manager of NVISO Japan K.K. “Customers will be able to communicate with digital human avatars via text or speech to receive product recommendations. Additionally, these avatars can assist users in navigating through a product catalogue and proactively mimic a salesperson by starting a conversation in any language. These avatars can then understand user preferences through their responses based on a prebuilt algorithm, allowing them to give appropriate answers to users' queries.”