Company Filing History:
Years Active: 2023-2025
Title: Innovations of Chih-Neng Liu
Introduction
Chih-Neng Liu is a prominent inventor based in Tainan, Taiwan. He has made significant contributions to the field of technology, particularly in the areas of automatic labeling systems and neural network training methods. With a total of 2 patents, Liu's work showcases his innovative approach to solving complex problems in automation and artificial intelligence.
Latest Patents
Liu's latest patents include an "Objects automatic labeling method and system applying the same." This method involves capturing M consecutive image frames at a station of an assembly line. It performs an object detection step that includes selecting a detection image frame displaying an operation using a workpiece against a target object. The method also involves calibrating the position range of the target object, retracing to select an Nth retraced image frame, obtaining a labeled image of the target object, and comparing it with other images to find similar labeled images.
Another notable patent is the "Training device and training method for neural network model." This training method includes obtaining a data set and completing multiple artificial intelligence model trainings to generate various models. It also involves selecting a first model set based on a first constraint and choosing the neural network model from this set based on a second constraint.
Career Highlights
Chih-Neng Liu is currently associated with the Industrial Technology Research Institute, where he continues to develop innovative solutions in technology. His work has been instrumental in advancing automation processes and enhancing the capabilities of neural networks.
Collaborations
Liu has collaborated with notable colleagues such as Tsann-Tay Tang and Mao-Yu Huang. Their combined expertise has contributed to the success of various projects and innovations within their field.
Conclusion
Chih-Neng Liu's contributions to technology through his patents and collaborative efforts highlight his role as a leading inventor in the industry. His innovative methods in automatic labeling and neural network training continue to influence advancements in automation and artificial intelligence.