This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Qualcomm Incorporated. Active years: 2021-2023.
Location History:
- Taiwan, TW (2021)
- Changhua, TW (2023)
Company Filing History:
Years Active: 2021-2023
Title: Innovations of Jian-Jia Su in Machine Learning and Autofocus Technology
Introduction
Jian-Jia Su is a notable inventor based in Taiwan, recognized for his contributions to the field of image processing and autofocus technology. With a total of two patents to his name, he has made significant advancements that enhance the functionality of image capture devices.
Latest Patents
One of Jian-Jia Su's latest patents is titled "Machine learning for phase detection autofocus." This invention provides systems, methods, and devices for image capture using an autofocus algorithm. The method involves receiving first image data from a camera's image sensor, determining a focal distance based on a machine learning algorithm, and controlling the camera's focal position accordingly. Another significant patent is "Dynamic field of view compensation for autofocus." This patent describes an image processing device that receives image data from an image sensor and adjusts the lens position during autofocus operations. The device determines multiple lens positions and performs field of view compensation by cropping the image data based on these positions.
Career Highlights
Jian-Jia Su is currently employed at Qualcomm Incorporated, a leading company in the technology sector. His work focuses on developing innovative solutions that improve image capture and processing capabilities.
Collaborations
Some of his notable coworkers include Wen-Chun Feng and Hui Shan Kao, who contribute to the collaborative efforts in advancing technology at Qualcomm.
Conclusion
Jian-Jia Su's work in machine learning and autofocus technology exemplifies the innovative spirit of modern inventors. His patents reflect a commitment to enhancing image processing, which has significant implications for various applications in the tech industry.