Kaohsiung, Taiwan

Shan-Lin Chang


Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Shan-Lin Chang

Introduction

Shan-Lin Chang is a notable inventor based in Kaohsiung, Taiwan. He has made significant contributions to the field of vision technology, particularly through his innovative patent that addresses visual inspection and correction methods. His work is instrumental in enhancing the way visual information is processed and adjusted for individual users.

Latest Patents

Shan-Lin Chang holds a patent for a "Vision inspection and correction method, together with the system apparatus thereof." This invention utilizes image adjustment software and devices to separate the eyes of the inspected person on an independent display screen. The method is designed to misalign visual marks seen by the same vision, allowing for a unique interaction between the inspector and the inspected person. The inspector can adjust various parameters such as zoom, shift, focus, diverge, and rotate to ensure that the inspected person's binocular images are clearly distinguished and aligned. The correction parameters are then implanted into 3D projectors, virtual reality (VR), augmented reality (AR) devices, and mixed reality (MR) equipment, providing users with personalized adjustments for comfortable images of both eyes.

Career Highlights

Shan-Lin Chang is associated with Passion Light Inc., where he continues to develop and refine his innovative ideas. His work at the company reflects his commitment to advancing visual technology and improving user experiences.

Collaborations

Shan-Lin collaborates with talented individuals such as Jih-Yi Liao and Chung-Ping Chen. Their combined expertise contributes to the innovative projects at Passion Light Inc.

Conclusion

Shan-Lin Chang's contributions to vision technology through his patent and work at Passion Light Inc. highlight his role as a forward-thinking inventor. His innovative methods for visual inspection and correction are paving the way for enhanced user experiences in various visual technologies.

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