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Webinar: Characterizing the Effects of Windshields on Head-Up Displays

Considerations for selecting a vision system to improve HUD testing for windshield glass

In the future, head-up displays (HUD) will be seamlessly integrated with windshields. Dynamic virtual images will align in real-time with the depths and locations of objects outside the vehicle, applying augmented reality (AR HUD) technology. Virtual images will be projected across large areas of the windshield, so they remain in view no matter where the driver is looking.

As an optical component of an integrated HUD system, the windshield plays an increasingly important role in the development of future HUD technology. And, like any optical component, the integrity of the windshield’s composition can have a significant impact on visual quality of the HUD projection. Deformations in glass form or layers may manifest as distortion, ghosting (duplication), or magnification of the virtual image. Already, automakers are setting strict quality parameters that glass manufacturers must follow to ensure the integrity of the windshield for accurate HUD projections. As these requirements become more complex, however, traditional inspection equipment like machine vision cameras and software are becoming insufficient for detecting fine details in projected test images, calculating measurements between numerous test points, and processing large amounts of measurement data to characterize defects and enable reporting. Manufacturers need more powerful inspection equipment to continue to ensure HUD quality now and into the future.

Join an online presentation to learn about:

> The role of the windshield in an integrated HUD system

> Common defects caused by windshield glass, and how to measure them

> Limitations of traditional inspection systems for OEM-specified testing

> Essential characteristics of inspection equipment for HUD windshields, supported by customer case studies and measurement examples

Details

  • 18640 NE 67th Ct, Redmond, WA 98052, USA
  • Radiant Vision Systems