This month saw 3 granted patents in VR & Augmented Reality from Apple (1), Google (1), and Sony (1).
The patents address core technical challenges in headset performance and tracking accuracy. Apple's technology generates intermediate frames using motion sensor data to reduce latency and flickering in VR and AR displays. Google's patent covers calibration systems that correct image alignment and color accuracy when prescription lenses are added to AR/MR headsets, while Sony's approach enables controllers to switch between camera-based SLAM and IMU sensors to maintain smooth tracking when visual methods fail.
Apple received 1 patent addressing frame rate performance in VR and AR headsets. The technology generates intermediate frames using motion sensor data to compensate for rendering delays. The system applies different transformation techniques depending on where the user is looking, using a single-depth method for central vision and a variable-depth approach for peripheral areas, with a blending function connecting the two zones. This hybrid strategy prevents flickering at the edges of the visual field while keeping computational costs manageable.
Google received 1 patent for calibration systems in AR and MR headsets that accommodate prescription lenses. The patent describes methods for testing and correcting optical distortions that occur when prescription corrective elements interact with the headset's display lightguide. The calibration process accounts for how the prescription lens affects light paths through the optical combiner, ensuring that images remain aligned and free from distortion regardless of the wearer's vision correction needs.
Sony received 1 patent covering motion tracking systems for VR and AR controllers. The technology monitors tracking quality and switches between camera-based SLAM and inertial measurement unit sensors depending on which method proves more reliable at any given moment. Rather than producing sudden jumps when visual tracking fails, the system transitions smoothly between tracking modes by selecting the most dependable data source in real time.