Sharon Laquinta Cham

Title: Innovations by Sharon Laquinta Cham

Introduction

Sharon Laquinta Cham is an accomplished inventor based in Austin, TX. She has made significant contributions to the field of technology, particularly in the areas of robotic systems and object detection. With a total of 2 patents, her work showcases her innovative spirit and technical expertise.

Latest Patents

Sharon's latest patents include "Robotic geometric camera calibration and monitoring alert configuration and testing." This patent describes a method for calibrating a system that includes a camera, which detects a robot navigating within a geo-polygon modeled environment. The method involves mapping points occupied by the robot in images captured by the camera and configuring alerts based on the data recorded during this mapping process.

Another notable patent is "Automated training data collection for object detection." This invention provides a method, system, and computer program product for the automated collection of training data and training object detection models. The method generates reference images for a set of products and identifies subsets of products within an image stream, ultimately generating a product detection model based on the collected data.

Career Highlights

Sharon is currently employed at International Business Machines Corporation (IBM), where she continues to push the boundaries of innovation. Her work at IBM has allowed her to develop cutting-edge technologies that have practical applications in various industries.

Collaborations

Throughout her career, Sharon has collaborated with talented individuals such as Florian Pinel and Russell Patrick Bobbitt. These collaborations have enriched her work and contributed to the success of her projects.

Conclusion

Sharon Laquinta Cham is a remarkable inventor whose contributions to technology are noteworthy. Her patents reflect her dedication to innovation and her ability to solve complex problems in the field. Her work continues to inspire future advancements in robotic systems and object detection.