Company Filing History:
Years Active: 2006-2016
Title: Innovations by David Jonathan Stager
Introduction
David Jonathan Stager is an accomplished inventor based in Pittsburgh, PA. He has made significant contributions to the fields of computer vision and machine learning, particularly in applications related to agriculture and conveyor systems. With a total of 2 patents, Stager's work exemplifies the intersection of technology and practical problem-solving.
Latest Patents
One of Stager's latest patents is focused on computer vision and machine learning software for grading and sorting plants. This invention encompasses software that integrates computer vision and machine learning algorithms to evaluate and categorize plants. Although one embodiment is directed toward strawberry plants, the software is versatile and can be applied to various crops requiring sophisticated quality sorting. The invention consists of a sequence of software operations that can be reused across different types of plants and other objects.
Another notable patent is a conveyor belt inspection system and method. This system utilizes image data from cameras to detect and report conditions of a conveyor belt. By analyzing the captured images, the system can identify objects on the conveyor belt and generate status information based on the detected objects. This innovation enhances the efficiency and reliability of conveyor systems in various industries.
Career Highlights
David Jonathan Stager is affiliated with Carnegie Mellon University, where he contributes to research and development in his areas of expertise. His work at this prestigious institution allows him to collaborate with leading minds in technology and innovation.
Collaborations
Stager has worked alongside notable colleagues, including Christopher Chandler Fromme and Thomas E. Pilarski. Their collaborative efforts have further advanced the research and applications of computer vision and machine learning technologies.
Conclusion
David Jonathan Stager's innovative contributions to computer vision and machine learning demonstrate the potential of technology to solve real-world problems. His patents reflect a commitment to enhancing agricultural practices and improving industrial systems.