Ming Cong

Title: Innovations by Inventor Ming Cong

Introduction

Ming Cong is a notable inventor based in Long Beach, CA (US). He has made significant contributions to the field of vehicle image processing, holding a total of 4 patents. His work focuses on enhancing the way vehicle images are analyzed and displayed, utilizing advanced technologies.

Latest Patents

Ming Cong's latest patents include a "Method and system for vehicle image repositioning." This invention features an image readjustment system that includes a communication interface, one or more processors, and persistent storage. The persistent storage is designed to be communicatively coupled to the processors and comprises image location logic and image cropping logic. The image location logic analyzes incoming images using machine learning to determine the location of specific components and calculate boundary coordinates. The cropping logic then removes unnecessary portions of the image to create a modified version for display.

Another significant patent is the "Method and system for vehicle image classification." This method involves receiving user input that includes a vehicle identifier (ID). Upon receiving this input, the system determines a set of vehicle images and corresponding classification IDs. It generates an image-to-feature data map that associates each vehicle image with its respective feature content and classification IDs, facilitating the rendering of images and features on web pages.

Career Highlights

Ming Cong has worked with several companies throughout his career, including Autodata Solutions, Inc. and Mh Sub I, LLC. His experience in these organizations has contributed to his expertise in vehicle image processing technologies.

Collaborations

Ming has collaborated with notable coworkers such as Hans Otten and Jerad William, further enhancing his innovative projects and contributions to the field.

Conclusion

Ming Cong's work in vehicle image processing showcases his innovative spirit and technical expertise. His patents reflect a commitment to improving how vehicle images are analyzed and displayed, making significant strides in the industry.