White Papers

Detailed information on our technology and solutions, written by industry experts.

Automated Solutions for SAE Standard HUD Measurement

Head-up display (HUD) technology is one of the largest growth areas in the automotive market, and standard measurement criteria are rapidly being defined to evaluate HUD performance for quality and safety. This paper introduces methods for meeting

the requirements of the new SAE J1757-2 standard and outlines the advantages of automated measurement systems.

In this White Paper, you will learn about:

  • The SAE (Society of Automotive Engineers) new standard for measuring HUDs: SAE J1767-2
  • Advantages and disadvantages of current SAE-compliant HUD measurement systems
  • Automated Alternatives to current test methods: imaging colorimeters and photometers
  • How automation simplifies SAE measurement criteria

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Guide to CCD-Based Imaging Colorimeters

Specially calibrated to replicate human spatial perception of brightness and color, imaging colorimeters and photometers are ideal in a broad range of measurement and inspection applications. With multiple options for CCDs, control electronics, filters, and lenses, these

powerful tools can be tailored to meet a your specific application requirements. Selecting the right CCD-based imaging colorimeter requires understanding a few basic trade-offs in imaging colorimeter architecture. This guide will help you determine right configuration for your needs.

In this White Paper, you will learn about:

  • CCD technology
  • Noise reduction and types of noise
  • Color accuracy related to filters
  • Types of measurement errors and their causes
  • How to choose the best imaging colorimeter for your application

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How to Use Imaging Colorimeters for Automated Visual Inspection of Displays

The use of imaging colorimeter systems and analytical software to assess display brightness and color uniformity, contrast, and to identify defects in displays is well established.

A fundamental difference between imaging colorimetry and traditional machine vision is imaging colorimetry's accuracy in matching human visual perception of light and color. This white paper describes how imaging colorimetry can be used in a fully-automated testing system to identify and quantify defects in high-speed, high-volume production environments.

In this White Paper, you will learn about:

  • Challenges of evaluating displays
  • Measurement components and setup to achieve Automated Visual Inspection (AVI)
  • Using AVI to detect defects in displays

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