Visionox Unveils ViP (Visionox Intelligent Pixelization) Products at DIC 2025… Achieves Over 90% Yield in Small-Sized Displays

Visionox’s circular OLED smartwatch panels produced with ViP deposition technology, showcased at DIC 2025.

OLED panel for smartwatches using ViP deposition method unveiled by Visionox

Chinese display specialist Visionox showcased products manufactured using its ViP (Visionox Intelligent Pixelization) technology at the DIC 2025 (Display Innovation China) exhibition held in August 2025. ViP is Visionox’s next-generation core technology, enabling ultra-high resolution, improved device lifetime, and high brightness—representing performance enhancements across multiple dimensions.

At the exhibition, Visionox revealed that panels produced with the ViP method offer a resolution of up to 1700 ppi, an aperture ratio of 69%, a sixfold improvement in device lifetime, and four times higher brightness compared to conventional technologies. The company emphasized that this technology is widely applicable—from AR/VR microdisplays to smartphones, automotive displays, and large-sized TV panels.

A Visionox representative at the exhibition stated, “Among the panels produced using the ViP method on our V3 line, small-sized display panels such as those for smartwatches have achieved yields of over 90%. Yields for medium-sized displays, such as those for smartphones, have also reached around 60%.”

However, since the ViP deposition method is applied to 8.6-generation medium-to-large OLED production lines, the technical difficulty of yield improvement increases with larger substrate sizes. Therefore, further monitoring of yield stabilization will be necessary going forward.

The ViP deposition method is compatible with both regular and irregular panel structures, supports low minimum order quantities, and is compatible with pol-less and transparent display technologies. As such, it is considered well-suited for high-mix, low-volume production and customized display markets.

Junho Kim, Analyst at UBI Research (alertriot@ubiresearch.com)

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