The Vision Pro uses a wide range of advanced machine learning and AI models to enable foundational capabilities such as hand tracking, room mapping, and Personas. These models are accelerated by the Neural Engine in the M2 chip, ensuring powerful and real-time spatial computing.
Enabling Spatial Computing with Machine Learning and AI
The Vision Pro leverages a suite of sophisticated machine learning and AI models to power its core functionalities. These models are optimized for efficient and responsive spatial computing, harnessing the power of the Neural Engine in the M2 chip.
Hand Tracking
The Vision Pro’s hand tracking capabilities are enabled by advanced machine learning algorithms that can precisely detect and track the user’s hands in real-time. This allows for intuitive and natural interactions within the virtual environment.
Room Mapping
Through the use of computer vision and depth-sensing technologies, the Vision Pro can accurately map the user’s physical surroundings. This enables the seamless integration of virtual elements with the real-world environment, creating a truly immersive experience.
Personas
The Vision Pro utilizes AI-driven Personas to provide personalized and contextual interactions. These Personas can understand and respond to the user’s needs, preferences, and behaviors, enhancing the overall user experience.
