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For the Inventor, By the Inventor

Tokyo, Japan

Jinze Yu

USPTO Granted Patents = 40 

Average Co-Inventor Count = 3.4

ph-index = 8

Forward Citations = 217(Granted Patents)


Company Filing History:

goldMedal39 out of 158 
 
Mujin, Inc.
 patents
where one patent can have more than one assignee

Years Active: 2019-2025

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Areas of Expertise:
Object Detection
Robotic Gripper Assemblies
Object Recognition
Grip Region Detection
Image Classification
Occlusion Detection
Automated Package Registration
Edge Detection
Multi-Dimensional Corners
Robotic Systems
Image-Based Sizing
Candidate Edge Processing
40 patents (USPTO):Explore Patents
1. 12430878 - Systems and methods for object detection (2025-09-30),
2. 12421054 - Robotic multi-surface gripper assemblies and methods for operating the same (2025-09-23),
3. 12380671 - Systems and methods for generating an object recognition template (2025-08-05),
4. 12358152 - Method and computing system for performing grip region detection (2025-07-15),
5. 12318951 - Systems and methods for object detection (2025-06-03),
6. 12290944 - Robotic system with image-based sizing mechanism and methods for operating the same (2025-05-06),
7. 12272070 - Method and computing system for object identification (2025-04-08),
8. 12243117 - Post-detection refinement based on edges and multi-dimensional corners (2025-03-04),
9. 12236609 - Method and computing system for processing candidate edges (2025-02-25),
10. 12219269 - Method and system for determining occlusion within a camera field of view (2025-02-04),
11. 12136223 - Robotic system for object size detection (2024-11-05),
12. 12080006 - Method and system for performing image classification for object recognition (2024-09-03),
13. 12062182 - Method and computing system for performing or facilitating physical edge detection (2024-08-13),
14. 12002007 - Robotic system with automated package scan and registration mechanism and methods of operating the same (2024-06-04),
15. 11961042 - Robotic system with automated package registration mechanism and auto-detection pipeline (2024-04-16),

Title: Innovations by Jinze Yu: Advancements in Edge Detection and Occlusion Determination

Introduction

Jinze Yu is an accomplished inventor based in Tokyo, Japan, with a remarkable portfolio of 32 patents. His work primarily focuses on developing innovative methods and systems aimed at enhancing computer vision technologies. This article explores his latest contributions to the field, highlighting key patents and collaborations.

Latest Patents

One of Jinze Yu's latest innovations is a "Method and Computing System for Processing Candidate Edges." This patent details a system and method for processing candidate edges utilizing spatial structure and 2D image information. The process identifies 3D locations representing object structure corners and recognizes 2D locations corresponding to these 3D points. It also establishes edge detection regions and performs segmentation based on the identified 2D object edges.

Another noteworthy patent is the "Method and System for Determining Occlusion within a Camera Field of View." This invention describes a system that processes camera data from at least one camera, identifying occlusion sizes based on a 3D region. Through this method, the system assesses the recognition confidence of various objects, enhancing object detection capabilities in complex scenes.

Career Highlights

Currently, Jinze Yu is associated with Mujin, Inc., where he leverages his expertise to drive innovation in robotics and automation. His contributions significantly enhance the company's competitive edge in the technology sector.

Collaborations

During his tenure at Mujin, Inc., Jinze Yu has collaborated with talented individuals such as Xutao Ye and Rosen Nikolaev Diankov. Together, they have embarked on various projects that emphasize the integration of advanced computer vision systems within automation frameworks.

Conclusion

Jinze Yu's innovative approaches in edge detection and occlusion determination not only underscore his prowess as an inventor but also contribute to advancing computer vision technologies. His ongoing work at Mujin, Inc. promises to lead to further breakthroughs that impact various industries.

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