News | February 20, 2024

XPANCEO To Develop The First Laboratory Optic Testing System To Accelerate Smart Contact Lens Production Worldwide


XPANCEO, a deep tech company that is developing the first smart contact lenses with XR and health monitoring features, has announced a successful proof of concept for the world’s first augmented reality holographic lens testing system, marking an essential step towards progressing from Apple Vision Pro to the next generation of computing – XR smart contact lenses. The system allows the replication of AR experiences in diverse contexts such as sports, gaming, and navigation, enabling safe immediate tests of holographic optical elements without the necessity for human trials.

According to Dr. Valentyn S. Volkov, XPANCEO’s co-founder and scientist with an h-Index of 38 and over 8000 citations in leading international publications, “The primary focus for us during this year will be the production of new prototypes and enhancing the current ones, so such optic testing system is a pivotal step towards the first all-in-one XR smart contact lenses. This system will allow XR industry players to evaluate such parameters as the field of view, the brightness of the virtual image, the gradient of intensity across the field, changes in image contrast due to the different weather conditions, and more, which will speed up the development process and may lead to growth in the smart lenses market. ”

Currently, there is only one device on the market with relatively similar functionality to test AR and VR glasses, which evaluates only 30% of the necessary parameters. This new setup is crucial for objectively evaluating lens prototypes, ensuring they meet requirements before clinical trials and market launch, marking a significant industry advancement.

This setup will be able to evaluate:

  • Field of View
  • The brightness of the virtual image. The calculation can be based on the projector's brightness or hologram DLE. Optical system transmittance can be measured by gauging power. Calibration to the brightness of a pixel in the virtual image with a measured brightness allows for the measurement of absolute brightness.
  • Contrast, a metric reflecting the ratio of the brightness of the green color of the image to the background.
  • The gradient of intensity across the field (digital image processing). This parameter helps determine the permissible percentage of the gradient.
  • Line sharpness (cross-section). This assesses the image’s sharpness.
  • The micro projector’s permissible angle of inclination.
  • Changes in image contrast during various weather conditions.

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