• Video Enhancement: Improve video quality through AI technology, including noise reduction, automatic white balance, automatic backlight compensation, etc.
• Automatic Tracking and Framing: This AI technology can be used to automatically track the movements and positions of participants to ensure they are always in the frame. The camera can be controlled to adjust its filed of view.
• Eye Contact: This AI technology can adjust the direction of human eyes to the camera so that they are facing the screen, which will give participants a more face-to-face meeting experience.
• Gesture Recognition: AI recognizes specific gestures captured in the camera images, and then triggers corresponding operations. In some special occasions, such as training, the teacher uses gestures to switch between different AI modes of the camera.
• Face Recognition: AI face recognition technology has been widely used in scenarios such as meeting sign-in, meeting nameplates, training sign-in, and training roll call.
• Video Content Analysis: In video conferencing, AI technology further analyzes video content, such as whiteboards, screen sharing or presentations, and provides better visualization and annotation capabilities.
• Virtual Backgrounds and Filters: Virtual background and filter technology allows users to customize the look of their videos. AI can be used to identify and apply virtual backgrounds in real time, and filters can be added to improve video quality.
• Multi-Camera Collaboration: A single camera lens or multi-camera lens captures the images of multiple participants and presents them on the screen at the same time to create a more friendly and immersive video conferencing experience. In teaching, multi-camera lenses can also provide richer teaching content.

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