Modi'in, Israel

Bnaya Ori

This inventor holds 1 USPTO granted patent. Top assignee: Briefcam Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Bnaya Ori. Retrieved from https://idiyas.com/inventor/bnaya-ori

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Bnaya Ori and Machine-Learning Innovation

Introduction

Bnaya Ori is an inventor based in Modi'in, Israel, whose patent work addresses the training of machine-learning models to recognize more specific categories of visual objects. His listed patent is associated with BriefCam Ltd.

Latest Patents

Ori’s patent, “Method and System for Training a Machine Learning Model with a Subclass of One or More Predefined Classes of Visual Objects,” describes a way to refine a model’s recognition capabilities using human selections. The system presents an operator with visual objects extracted from a video. The operator selects objects belonging to a particular subclass within one or more predefined classes, and a computer processor uses those selections to train a model to distinguish that subclass from other objects in the broader classes. Ori is credited with 1 patent.

Career Highlights

The patent reflects work at the intersection of video analysis, human-guided data selection, and machine learning. By incorporating an operator’s identification of a subclass, the described method aims to help a model make more fine-grained distinctions among visual objects.

Collaborations

Ori’s listed company affiliation is BriefCam Ltd. His named coworkers include Shmuel Peleg and Shimrit Haber.

Conclusion

Bnaya Ori’s patent focuses on using human input to train machine-learning systems to distinguish specific subclasses of visual objects in video, highlighting a practical approach to more targeted visual recognition.

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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