There’s a lot of data used to characterize electronic displays: resolution, pixels per inch, refresh rate, luminance (nits), pixel pitch, dynamic range, contrast ratio, etc. All this information is meant to help convey the quality of a display. But ultimately, it is the visual experience of human users that will define a display’s performance—and largely determines its success in the marketplace.
Early Model-T Ford vehicles didn’t even have a speedometer (their top speed was just 35 mph), but soon after, dashboards began to include multiple gages, indicators, and vehicle controls. (Fun fact: the word ‘dashboard’ originates from horse-drawn wagons and carriages, where a board at the front protected passengers from mud that was ‘dashed’ up by the horses’ hooves.)
Display uniformity is important for visualization of digital information, but perhaps nowhere is this more critical than in industries where displays are relied upon for vehicle operability and safety. Automotive display quality is rigorously tested to ensure visibility—not only to safeguard a positive brand perception, but to comply with industry regulations.
From LCD to OLED to QLED, displays of all kinds are subject to a range of defects introduced either at their component-level or as a result of errors during production. Because no production process can guarantee consistency for every single display produced, quality testing for every display on the line is critical.
Human perception is the ultimate standard for determining the visual quality of a display. For this reason, human inspectors have traditionally been used for quality control inspection of products like display devices. However, using human inspection can be problematic because of the statistical variation between observers.
Radiant Vision Systems provides leading display test solutions for labs and production lines, with thousands of cameras testing millions of devices worldwide.
Radiant Vision Systems TrueMURA™ Analysis Module is the first commercial system available to provide advanced image analysis algorithms for computing JND (“Just Noticeable Differences”). This augments the Defect Analysis functions already available in TrueTest™ Automated Visual Inspection software. The JND detection algorithm incorporated in TrueMURA is based on U. S.
Radiant technologies are thoughtfully engineered to achieve the fastest, simplest, and most accurate measurements of light, color, and surfaces. Imaging colorimeters and photometers leverage scientific-grade CCDs, high resolution, low noise, and factory calibration to ensure consistency of data across R&D to production. Utilizing photopic filters, Radiant cameras acquire absolute luminance and color information to qualify devices against human visual perception.