Toronto, Canada

Richard Jeffrey Rzeszutek

This inventor holds 20 USPTO granted patents and 1 published patent application, plus 5 CIPO patents and 2 EPO patents, primarily in Object Detection Technology. Top assignees: Symbol Technologies, LLC, Zebra Technologies Corporation, 7D Surgical Inc.. Active years: 2014-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Richard Jeffrey Rzeszutek. Retrieved from https://idiyas.com/inventor/richard-jeffrey-rzeszutek

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 20 

% Patents Active = 95.0

 


Average Co-Inventor Count = 2.8

ph-index = 5

Forward Citations = 80(Granted Patents)


Location History:

  • Ontario, CA (2014)
  • Toronto, CA (2014 - 2024)

Company Filing History:


Years Active: 2014-2026

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Areas of Expertise:
Object Detection
Mixed Depth
Lidar Data
Image Processing
Stereo Imaging
Anatomical Imaging
Depth Sensors
Automation Localization
Shelf Detection
Translucency Artifacts
Support Structures
Image Scale Space
20 patents (USPTO):Explore Patents

Title: Richard Jeffrey Rzeszutek: Innovator and Inventor in Object Detection Technologies

Introduction

Richard Jeffrey Rzeszutek, based in Toronto, Canada, is a prolific inventor with a remarkable portfolio comprising 18 patents. His innovations primarily focus on advanced object detection technologies that enhance various applications, particularly in industrial and commercial settings.

Latest Patents

Two of his latest patents illustrate his expertise and forward-thinking approach:

1. **Mixed Depth Object Detection** - This method involves acquiring a point cloud from a depth sensor alongside image data from an image sensor, which together represent a support structure bearing a set of objects. The process includes obtaining an image boundary for a specific object, isolating a portion of the point cloud that corresponds to this boundary, and selecting a subset of points that define the object's forward surface before generating its three-dimensional position.

2. **Method and Apparatus for Object Status Detection** - This method deals with detecting the status of objects placed on a shelf by analyzing shelf image data. It comprises obtaining multiple images of the shelf, identifying gaps between objects, and registering those images to a common frame of reference. By comparing a consolidated gap indication against reference data, it effectively selects a target object identifier and generates a status notification for it.

Career Highlights

Throughout his career, Richard has worked with industry-leading companies, including Symbol Technologies, LLC and Zebra Technologies Corporation. His contributions have significantly impacted the field of object detection, making processes more efficient and reliable.

Collaborations

Richard has collaborated with influential colleagues in the tech industry, including Vlad Gorodetsky and Joseph Lam. Their combined efforts have played a fundamental role in promoting innovative solutions.

Conclusion

Richard Jeffrey Rzeszutek stands out as an inventor with a strong commitment to advancing object detection technologies. His impressive array of patents illustrates his dedication to innovation and his impactful work in the field. As technology continues to evolve, Richard’s contributions will undoubtedly influence future developments in object detection and beyond.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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