Mingyang Liu

Title: Innovator Mingyang Liu: Pioneering Real-Time Vehicle Overload Detection

Introduction: Mingyang Liu, an esteemed inventor based in Chongqing, China, has made significant contributions in the field of vehicle safety technologies. With a focus on enhancing road safety, he holds one patent for a groundbreaking method that employs advanced algorithms to ensure compliance with national vehicle load standards.

Latest Patents: Liu's notable patent is titled "Real-time vehicle overload detection method based on convolutional neural network." This innovation utilizes a convolutional neural network (CNN) and a YOLO-V3 detection algorithm to effectively monitor vehicles on the road. The method involves detecting the number of wheels and axles, measuring the relative wheelbase, and comparing these findings against national vehicle load standards. By employing piezoelectric sensors to measure actual load, Liu's approach facilitates real-time detection of vehicle overloads, which could help prevent traffic congestions and accidents.

Career Highlights: Throughout his career, Mingyang Liu has been associated with institutions that prioritize innovation and technology. He has worked with Dibi (Chongqing) Intelligent Technology Research Institute Co., Ltd. and the Star Institute of Intelligent Systems, contributing to projects that aim to harness intelligent systems for advanced vehicle management.

Collaborations: Liu has collaborated with prominent figures in the research community, including Yongduan Song and Yujuan Wang. These collaborations further underline the emphasis on teamwork and shared expertise in the development of impactful safety technologies.

Conclusion: Mingyang Liu's innovative approaches to vehicle overload detection mark a significant advancement in road safety measures. With his patented technology, Liu is paving the way for safer driving experiences, proving the vital role of inventors in shaping a more secure future on the roads.