Company Filing History:
Years Active: 2021
Title: **Christina Melissa Sutanto: Innovator in Pipeline Performance Prediction**
Introduction
Christina Melissa Sutanto, an esteemed inventor located in Whitby, Canada, has made significant contributions to the field of object detection and tracking through her innovative work. With a focus on enhancing performance prediction for pipeline systems, she holds a notable patent that showcases her expertise and dedication to advancing technology.
Latest Patents
Christina's patent, titled "Three-dimensional detection and tracking pipeline recommendation using performance prediction," revolves around systems and methods designed to predict the performance of pipelines utilized in object detection, pose estimation, and tracking. The invention incorporates multiple regressors, each tailored for specific tasks, enabling the output of scores that guide the selection of the most suitable pipeline for different objects. This groundbreaking approach enhances the accuracy and efficiency of object detection and tracking operations.
Career Highlights
As a part of Seiko Epson Corporation, Christina has played a pivotal role in bridging theoretical knowledge with practical applications. Her patent not only reflects her innovative thinking but also her ability to work within a highly competitive technological landscape. This contribution places her among the ranks of influential inventors in her field.
Collaborations
Throughout her career, Christina has had the privilege of collaborating with talented colleagues, including Andrei Mark Rotenstein and Asheer Kasar Bachoo. Together, they share a commitment to pioneering solutions that address complex challenges in detection and tracking technologies.
Conclusion
Christina Melissa Sutanto’s dedication to innovation and her noteworthy contributions through her patent have positioned her as a standout figure in the technology sector. Her work at Seiko Epson Corporation continues to inspire future advancements in performance prediction and pipeline recommendations in object detection and tracking systems.