AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

This perspective paper reviews recent advancements and explores future, exciting opportunities for both artificial intelligence (AI)‐powered smart displays and AI‐assisted augmented reality (AR) eyeglasses. To begin, we analyze fundamental AI‐enhanced image‐quality techniques, including perceptual resolution upscaling algorithms, tone mapping, reverse tone mapping, and image‐quality analysis. Next, we examine the practical implementations of AI technologies for smart displays, in which both the visual experience and use case of novel display technologies can be improved. Finally, we further explore AI integration into wearable AR glasses, highlighting the enabled capabilities to improve display systems through waveguide combiner optimization and image correction, and exploring recent advances that go beyond color in AR glasses, such as eye tracking, foveated rendering, and physiological sensing. By outlining emerging trends and promising directions for next‐generation display technologies, this perspective will demonstrate the critical role of AI in enabling new capabilities, user experiences, and technological breakthroughs in the field of displays.

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Publication Details

Journal
Advanced Intelligent Systems
Published
2026-10-15
DOI
https://doi.org/10.1002/aisy.70567
Primary Topic
Advanced Optical Imaging Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

Luke Benoit, Cheng-Han Ke, Yizhou Qian, Y. Chen et al.
Advanced Intelligent Systems
Advanced Optical Imaging Technologies
article

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

Luke Benoit, Cheng-Han Ke, Yizhou Qian, Y. Chen, Shin-Tson T. Wu, Chih‐Lung Lin, Ziyang Shen, Po-Sheng Chiu, Youngeon Lee
article en

Abstract

This perspective paper reviews recent advancements and explores future, exciting opportunities for both artificial intelligence (AI)‐powered smart displays and AI‐assisted augmented reality (AR) eyeglasses. To begin, we analyze fundamental AI‐enhanced image‐quality techniques, including perceptual resolution upscaling algorithms, tone mapping, reverse tone mapping, and image‐quality analysis. Next, we examine the practical implementations of AI technologies for smart displays, in which both the visual experience and use case of novel display technologies can be improved. Finally, we further explore AI integration into wearable AR glasses, highlighting the enabled capabilities to improve display systems through waveguide combiner optimization and image correction, and exploring recent advances that go beyond color in AR glasses, such as eye tracking, foveated rendering, and physiological sensing. By outlining emerging trends and promising directions for next‐generation display technologies, this perspective will demonstrate the critical role of AI in enabling new capabilities, user experiences, and technological breakthroughs in the field of displays.

Advanced Intelligent Systems
University of Central Florida (US), National Cheng Kung University (TW)
Openalex Percentile: Top 14%
Advanced Optical Imaging Technologies
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