Uttoxeter, United Kingdom

Richard Howells

This inventor holds 1 USPTO granted patent and 1 published patent application and 2 EPO patents. Top assignee: J.c. Bamford Excavators Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Richard Howells. Retrieved from https://idiyas.com/inventor/richard-howells

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

Calculating rank
USPTO Granted Patents = 1 

 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Richard Howells and a Working-Machine Collision Avoidance Invention.

Introduction

Richard Howells is an inventor associated with Uttoxeter, Great Britain, and J.C. Bamford Excavators Limited. His patent describes a collision avoidance system designed to help alert working-machine operators when an animate object is detected.

Latest Patents

Howells is associated with 1 patent, titled “Working machine.” The invention combines a machine body, ground-engaging propulsion structure, and working arm with a camera-based collision avoidance system. The camera monitors its field of view and sends an output signal to a control system when an object is detected. A processor uses a machine-learning algorithm to determine whether the detected object is animate. If an animate object is identified, the system alerts the operator.

Career Highlights

Howells’s listed patent focuses on applying machine learning and camera monitoring to working-machine safety. The system is intended to help operators become aware of animate objects within the camera’s field of view.

Collaborations

The patent information associates Howells with J.C. Bamford Excavators Limited, a company connected with working machines and equipment. The available details do not specify the roles of other collaborators.

Conclusion

Richard Howells’s “Working machine” patent presents a camera- and machine-learning-based approach to detecting animate objects and alerting operators, with the aim of supporting safer machine operation.

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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