SenseMARS Agent enables intelligent human-machine interactions with perception intelligence and decision intelligence covering natural language processing and speech, hand gesture, pose and gaze. For example, SenseMARS Digital Human, a human-like software agent, interacts with users naturally and vividly through dialog, expressions and gestures. When trained with domain-specific knowledge, SenseMARS Digital Human can serve in various scenarios including shopping malls, exhibitions, tourist attractions and banks.   SenseMARS Agent is also provided to gaming companies to serve as AI-enabled non-player characters or virtual players competing in online games of different genres.

Product Highlights

• Intelligent customer service system and customer group analysis system
  • SenseAR Digital Human summarizes the characteristics of customer groups within a service cycle and generates a report containing information such as visitor distribution and follow duration, helping clients improve the service experience they offer.
• Diverse artistic styles
  • SenseAR Digital Human can take the form of a hyper-realistic human being or cartoon character.
• Resume manual control anytime
  • For any complex questions that cannot be answered by SenseAR Digital Human, real customer service personnel can step in at any time to remotely answer visitors’ questions.
• Rich content editing interfaces
  • SenseAR Digital Human provides a series of built-in identification and dialog interaction modules that can be customized by administrators. It also provides easy-to-use interfaces that allow administrators to quickly create new content without secondary development.
• Communicate through visual and voice analysis
  • Different from voice conversation robots, SenseAR Digital Human leverages visual inputs and AI technology to identifies customers' identity, attributes, and gestures to interact with and respond to them accordingly.
• Interact Naturally
  • SenseAR Digital Human can interact and communicate like a real human being with expressions and gestures by learning from people. Thus, it can interact with visitors smoothly and naturally.