Four Ways to Enable Automated SAE Standard HUD Measurement
Join our webinar to learn Four Ways to Enable Automated SAE Standard HUD Measurement in vehicles.
Manufacturers of test equipment for automotive head-up displays (HUDs) have partnered with the Society of Automotive Engineers (SAE) Committee to define standard measurement criteria to assess HUD quality. The new standard (SAE J1757-2 “Optical Metrology for Automotive HUD”) will outline optical measurement geometries and requirements for determining HUD performance using light measurement systems.
Although no single system is specified, there are several differentiating features among SAE-compliant systems that greatly reduce HUD evaluation time, enabling automated production-level measurement, ensuring compliance, and limiting cost and time to market.
In this webinar, Radiant Vision Systems’ automotive business leader Matt Scholz presents four key system features that offer the greatest technical advantages for SAE standard HUD measurement. Topics include:
- Upcoming SAE J1757-2 standard and requirements
- Key HUD measurement challenges
- Camera features that ensure the fastest measurement setup
- Software features that enable automated testing for production
An audience Q&A with the presenter follows the presentation.
CLICK HERE TO WATCH THE ON-DEMAND WEBINAR NOW!
Presenters:
Matt Scholz Mr.
International Senior Business Advisor - Automotive
Radiant Vision Systems, LLC
Matt Scholz leads global automotive projects at Radiant Vision Systems. Having spent nearly 10 years working on metrology applications, Matt has a strong and fundamental understanding of the need for increased control in lighting and illuminated components, cross-component harmonization, display quality, and manufacturing integrity in high-value assemblies. Matt has worked with manufacturers at every point in the supply chain, from vendors to major brands and OEMs worldwide. Matt strives to build on Radiant’s success by sharing his expertise on measurement equipment and providing a consultative approach to system integration for varying automotive applications.
