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中文Research Highlights
- Publish Date：2025-03-11
Enhanced Display Longevity: NYCU Develop World’s First AI Model to Restore Screen Brightness
Photo credit: Getty Images
Translated by Szu-Yung Huang
Edited by Chance Lai
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Edited by Chance Lai
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Have you ever noticed your smartphone or laptop screen gradually losing brightness and color after a few years? A research team led by Professor Paul C.-P. Chao from the Department of Electronics and Electrical Engineering at National Yang Ming Chiao Tung University (NYCU) has tackled this long-standing issue.
By integrating embedded AI technology, the team developed the world’s first intelligent AI model that dynamically compensates for screen brightness degradation based on user behavior and environmental temperature, ensuring optimal display performance. The team’s findings were published in the prestigious IEEE Transactions on Industrial Informatics journal.
By integrating embedded AI technology, the team developed the world’s first intelligent AI model that dynamically compensates for screen brightness degradation based on user behavior and environmental temperature, ensuring optimal display performance. The team’s findings were published in the prestigious IEEE Transactions on Industrial Informatics journal.
The world’s first AI intelligent model that dynamically compensates for display brightness degradation in real-time, ensuring optimal screen performance.
Solving OLED Dimming at Its Root
Professor Chao explained that OLED (Organic Light-Emitting Diode) brightness degradation is a recognized technical challenge in the industry. Most manufacturers perform burn-in tests before shipment and apply uniform compensation based on average data. However, individual product variations and differing user habits make this one-size-fits-all approach insufficient to meet every consumer’s needs.
Professor Chao’s team dedicated two years to developing an innovative compensation system to address this issue. The research involved building a model to precisely estimate the internal temperature distribution of displays, collecting data on OLED brightness decay, and incorporating environmental temperature information.
Restoring Brightness with AI Precision
The AI compensation technology can restore the brightness of red, green, and blue primary colors to approximately 90%.“Research thrives on challenges, and that’s where we head,” Professor Chao remarked. Having successfully addressed display brightness degradation, his team aims to tackle even more complex challenges, such as color compensation for Micro OLED displays in AR/VR glasses and bidirectional photoelectric conversion in optical sensors. The team envisions advancing light-to-energy conversion technology to minimize performance degradation caused by brightness and color decay.
This groundbreaking AI compensation technology resolves the persistent issue of display degradation and opens new possibilities for next-generation display technologies and optoelectronic applications. Additionally, the technology is now being integrated into products by Taiwan’s largest display manufacturer, promising an enhanced visual experience for consumers worldwide.
Professor Paul C.-P. Chao specializes in AI sensing, chip design, and biomedical sensing technologies, dedicating his efforts to advancing smart technology innovation.
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