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What's the Optimal Assembly Verification Method for Tough Inspection Tasks?

Quality inspection methods for electromechanical assemblies include machine vision systems, human inspection, and photometric inspection systems. An approach based on machine vision technology can be enhanced by applying artificial intelligence (AI)-based

machine learning techniques. By understanding the difference between human inspection, machine vision inspection, and the latest advances in photometric-based inspection techniques, developers can choose the best tool for the inspection task at hand.

Published by Vision Systems Design on October 1, 2018.

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Machine Vision Enters Augmented and Virtual Reality Environments

Disruptive technology like augmented and virtual reality devices lay the foundation for future innovation, and also put demands on the vision and imaging equipment used to ensure the quality of a digital experiences that are blended with reality. In this article,

Radiant Vision Systems Chief Solutions Officer, Doug Kreysar, contributes his thoughts on the AR/VR display market, focusing on the importance of unique optics for measuring the quality of displays integrated within augmented and virtual reality headsets.

Published by AIA Vision Online on October 5, 2018.

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Applying Automation for Efficient Head-Up Display Production

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 article introduces methods for meeting the

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

Published by Sensors Online on December 15, 2017.

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How to Use Imaging Colorimeters to Improve OLED Display Production Testing Efficiency and Yields

OLEDs (Organic Light-Emitting Diodes) are emerging as the next wave of technology in the flat-panel display market. This is exciting because OLED displays promise improved display appearance for both smartphones and large-format TVs at lower cost and power than

ther display technologies. As OLED manufacturers work to launch commercially viable OLED-based products, high costs due to manufacturing yield issues have hindered widespread OLED technology adoption, most dramatically in large-format implementations, as they drive up end customer prices. This article describes how to use imaging colorimeters to improve OLED display production testing efficiency and yields for optimal price/performance.

Published by Global LEDs/OLEDs on September 1, 2018.

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Automated Solutions for SAE Standard HUD Measurement

Head-up display (HUD) technology is one of the largest growth areas in the automotive market, with a key focus on increased passenger safety through improved vehicle operations and operator awareness. 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.

Published by INSPECT on August 3, 2017.

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How to Use Imaging Colorimeters to Improve OLED Display Quality

Manufacturers have found it difficult to achieve consistent picture quality on large-format OLED displays. This impacts the timing of viable market entry and drives up retail price for OLED large-screens. In this article, we discuss the manufacturing challenges that are

common in OLED displays, and correction methods that can be used to adjust the output of individual pixels of emissive displays (like OLED, microLED, and others) to ensure uniformity of brightness and color, preventing waste of "defective" materials and improving manufacturing efficiency.

Published by EE Publishers on June 6, 2018.

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Information Display Interviews Doug Kreysar, Chief Solutions Officer at Radiant Vision Systems

Editor in Chief of SID Information Display magazine, Jenny Donelan, interviews Radiant Vision Systems Chief Solutions Officer, Doug Kreysar, on the history and growth of Radiant Vision Systems. This article includes a Q&A with Radiant CSO Doug Kreysar and discusses the

company's target markets, growth into the machine vision inspection sector, and new product releases in AR/VR display measurement for augmented and virtual reality devices.

Published by SID Information Display on May/June 2018.

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Choosing a Measurement System for LED Sources, Luminaires, and Displays

With the excitement surrounding the emergence of LED lighting and displays, it is becoming increasingly important to be able to measure the performance of LEDs and LED-based systems in accurate and meaningful ways. This is even more important as LEDs are

increasingly used as an alternative to more traditional technologies. The intended purpose of the measurement – to inform development, to characterize or evaluate finished products, for production quality control, or for in-use performance assessment – determines the photometric and colorimetric quantities that are important to measure. This – plus constraints on measurement time, accuracy, and cost – determine options for measurement methods. We survey 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. Of particular interest is not only the measurement of individual LEDs, but also the measurement of LED arrays, luminaires, and displays. 

Published by Global LEDs/OLEDs on February 9, 2018.

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