Today's automated solutions enable a range of simple FDP inspection tests that far exceed the capabilities of human inspectors in terms of reliability and objectivity, and yield much greater ROI in application.In this 30-minute webinar, Radiant's Hubert Kostal describes three key benefits of imaging colorimetry for automated inspection of FPDs and offers:
Human perception will always be the ultimate gauge of quality when it comes to flat panel display appearance. After all, the end user of a smartphone, tablet, PC, and TV is a human – one who will spend a lot of time looking at, and enjoy, or not, interacting with it. Colors that are off, non-uniform appearance, or other defects will result in a poor experience.
CCD (Charge Coupled Device) and CMOS (complementary metal-oxide semiconductor) sensors work by converting light into electrical current (electrons), allowing images to be recorded digitally, in pixels.
Display technologies continue to evolve rapidly. As the trend continues toward larger, higher-resolution screens, and emerging technologies pose new challenges on the production line, manufacturers need inspection systems that will ensure a flawless product without impacting production speeds.
Displays viewed near to the eye create immersive virtual experiences, such as those integrated into AR/VR devices. However, as display images are magnified to fill a user’s field of view (FOV), display defects are also magnified. Radiant provides an application-specific display test solution to meet the unique measurement parameters of NEDs viewed in close proximity through AR/VR headsets and goggles.
Head-up displays (HUDs) project images onto ambient real-world scenes at infinite focal distances. This unique viewing context poses a challenge for ensuring image visibility and position, especially when it comes to meeting all requirements of established quality standards. Photometric measurement of light and color is equally important as dimensional measurements for image size, distance, location, and integrity in performing comprehensive HUD evaluation to SAE standards for optical quality.
In this article, we discuss standardization of HUD measurement, and benefits of photometric imaging systems for efficiency, paired with software to enable fully-automated HUD testing to SAE standards.
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:
There is a growing need to reduce time and errors in the manufacture of Flat Panel Displays (FPDs). Quality of the display has quickly evolved into one of the most critical technological differentiators for the end product. Manufacturers, spending a greater portion of the total product cost on the display subsystem, are increasingly demanding best in class test and measurement solutions.
Learn a unique application of Radiant ProMetric® imaging solutions for measuring OLED displays on the pixel and sub-pixel level to calculate non-uniformity and coefficients for pixel-level luminance correction. This process, referred to as “demura,” adjusts the luminance and/or chromaticity of each OLED pixel to produce displays with an entirely uniform appearance.
The demand for perfection in consumer electronics displays is now reaching the automotive market as display technologies such as in-dash LCD screens and heads-up displays are becoming the latest standard feature in today's vehicles. To make the sale and build the brand in the automotive market, perfect displays are required.
See how Radiant's imaging photometers and colorimeters are used at each stage in the production of display devices to detect light, color, and surface defects. By identifying defects as early as possible on the line, our systems facilitate lean operations by improving efficiency, and lowering production costs and reducing material waste, while ensuring absolute quality of LCD devices from display to final mechanical assembly.In this Video, you will learn about:
Display manufacturers continue to automate their production processes, but still rely heavily on human inspectors to ensure visual quality. Measurement resolution and computing technology have reached a point where automated solutions are now able to reproduce - and exceed - the results attained by human inspectors.
Prevent light leakage and non-uniformity in LCD and LED backlight units (BLUs) and ensure that every BLU meets performance standards. In this quality inspection operation video, you will see a demonstration of:
In this article, we discuss unique measurement considerations for ensuring the quality of LED sources, and equipment for measuring LED displays, individual sources, and luminaires.
In this article published by Global LEDs/OLEDs, Radiant surveys a number of measurement methods that generate either near-field or far-field models of the LED or luminaire and evaluate their strengths and weaknesses to guide us in selecting the right measurement method for the application.
As part of today’s on-the-go lifestyle, we’ve become used to getting into our car and expecting to seamlessly connect personal devices like music players and cell phones to the vehicle’s systems and power sources.
In this 50-minute webinar, International Senior Business Advisor for Radiant Automotive applications Matt Scholz presents a method for repeatable sparkle measurement across users, devices, and systems, with quantifiable results that correlate to human visual perception of display quality.
In this article, we describe a method for the measurement of large light sources in a limited space that efficiently overcomes the physical limitations of traditional far-field measurement techniques. The measurement is performed from within the near-field of the light source, enabling a compact measurement set-up, and generates a detailed near-field color and luminance distribution model that can be directly converted to ray sets for optical design and that can be extrapolated to far-field