This inventor holds 2 USPTO granted patents. Top assignee: Cet Technologies Pte Ltd. Active years: 2002-2008.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2002-2008
Title: Yew Liam Ng: Innovator in Traffic Monitoring Systems
Introduction
Yew Liam Ng is a prominent inventor based in Singapore, known for his contributions to the field of traffic monitoring systems. With a focus on image processing techniques, he has developed innovative solutions aimed at enhancing traffic data acquisition and incident detection. His work has led to the filing of two patents, showcasing his commitment to advancing technology in this critical area.
Latest Patents
Yew Liam Ng's latest patents include "Image processing techniques for a video based traffic monitoring system and methods therefor." This invention relates to the application of image processing techniques to traffic data acquisition using video images. The primary function of this traffic monitoring system is to facilitate traffic data acquisition and incident detection. The invention specifically addresses the detection of vehicles from sequences of video images, as well as the acquisition of traffic data and detection of traffic incidents. Additionally, it provides methods for processing images received from a video-based traffic monitoring system, including a Region Of Interest (ROI) for detecting moving vehicles and methods for determining day or night status in the system.
Another significant patent is the "Automatic freeway incident detection system and method using artificial neural network and genetic algorithms." This invention describes the design of a neural network for the automatic detection of incidents on a freeway. The neural network is trained using a combination of back-propagation and genetic algorithm-based methods, optimizing its design for better performance. The training process involves incremental learning based on instantaneous errors, with batch updates at the end of the training data presentation. The genetic algorithm evaluates the performance of multiple neural networks in parallel, breeding new networks that are better suited to the challenges at hand.
Career Highlights
Yew Liam Ng is currently employed at Cet Technologies Pte Ltd, where he continues to innovate in the field of traffic monitoring. His work has significantly impacted the way traffic data is collected and analyzed, contributing to safer and more efficient roadways.
Collaborations
Yew Liam Ng collaborates with talented individuals such as Chee Chung Chong and Ming Kun Gu, who contribute to the development and implementation of his innovative ideas.
Conclusion
Yew Liam Ng's contributions to traffic monitoring systems through his patents demonstrate his expertise and dedication to improving road safety and efficiency. His innovative approaches to image processing and neural networks are paving the way for advancements in traffic management technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile