Meng-Tsan Li

Title: Meng-Tsan Li: Innovator in Traffic Prediction and Object Detection

Introduction

Meng-Tsan Li is a prominent inventor based in Taichung, Taiwan. He has made significant contributions to the fields of traffic condition prediction and object detection. With a total of 7 patents to his name, his work has the potential to enhance traffic management systems and improve safety on the roads.

Latest Patents

One of Meng-Tsan Li's latest patents is a traffic condition prediction system and method. This innovative method involves determining a center of a circle in a surveillance image of a target traffic scene. It includes generating a scene feature based on extracted feature points and predicting traffic conditions using a prediction model. Another notable patent is a computing device and method for generating an object-detecting model. This device divides a training image into multiple blocks and calculates confidence scores to train a deep-learning model for object detection.

Career Highlights

Meng-Tsan Li is affiliated with the Institute for Information Industry, where he applies his expertise in developing advanced technologies. His work focuses on creating systems that can analyze and predict traffic conditions, which is crucial for urban planning and traffic management.

Collaborations

Meng-Tsan Li collaborates with talented individuals such as Yen-Lin Chen and Chao-Wei Yu. Their combined efforts contribute to the advancement of technology in their respective fields.

Conclusion

Meng-Tsan Li's innovative work in traffic prediction and object detection showcases his commitment to improving technology for better urban living. His contributions are paving the way for smarter traffic management solutions.