Ryan Lee

Title: Innovations of Ryan Lee in Video Analytics

Introduction

Ryan Lee is an accomplished inventor based in Vancouver, Canada, known for his contributions to the field of video analytics. With a total of three patents to his name, he has developed innovative solutions that enhance the efficiency and effectiveness of video analysis systems.

Latest Patents

One of Ryan's latest patents is titled "Device, method and system for pruning video analytics parameters." This invention provides a device that analyzes images from a camera using a full initial machine learning model. The model is trained to detect objects in the images using video analytics parameters, independent of the installation location. The device gathers statistics over time regarding the frequency of use of these parameters and the error generation frequency in detecting objects. Based on this data, the device prunes the video analytics parameters to update the machine learning model for the camera.

Another significant patent is "Device, method and system for installing video analytics parameters at a video analytics engine." This invention allows a device to determine the classification of a first camera in relation to a second camera. It retrieves video analytics parameters associated with the second camera and installs them at the video analytics engine of the first camera, streamlining the setup process.

Career Highlights

Ryan has worked with notable companies such as Motorola Solutions, Inc. and Avigilon Corporation. His experience in these organizations has contributed to his expertise in video analytics and machine learning technologies.

Collaborations

Throughout his career, Ryan has collaborated with talented individuals, including Qifan Liang and Peter L Venetianer. These partnerships have fostered innovation and the development of advanced technologies in the field.

Conclusion

Ryan Lee's work in video analytics showcases his innovative spirit and dedication to improving technology. His patents reflect a deep understanding of machine learning and its applications in real-world scenarios.