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For the Inventor, By the Inventor

Kfar Bialik, Israel

Yoram Hofman

This inventor holds 14 USPTO granted patents and 2 published patent applications and 1 EPO patent. Top assignees: Hi-Tech Solutions Ltd., Omniq Corp.. Active years: 2012-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yoram Hofman. Retrieved from https://idiyas.com/inventor/yoram-hofman

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

USPTO Granted Patents = 14 

% Patents Active = 21.4

 

Average Co-Inventor Count = 1.7

ph-index = 5

Forward Citations = 124(Granted Patents)


Location History:

  • Haifa, IL (2012)
  • Kfar-Bialik, IL (2012 - 2018)
  • Kefar Bialik, IL (2013 - 2024)

Company Filing History:

goldMedal11 out of 11 
 
Hi-Tech Solutions Ltd.
 patents
silverMedal3 out of 3 
 
Omniq Corp.
 patents

Years Active: 2012-2026

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14 patents (USPTO):Explore Patents
1. 12633155 - Automated HOV violation detection (2026-05-19),
2. 12008815 - Cloud-based ANPR management (2024-06-11),
3. 11657606 - Dynamic image capture and processing (2023-05-23),
4. 10323450 - Cloud-base ANPR management (2019-06-18),
5. 10007855 - Character recognition system and method for rail containers (2018-06-26),
6. 9785898 - System and method for identifying retail products and determining retail product arrangements (2017-10-10),
7. 9330339 - System and method for detecting cargo container seals (2016-05-03),
8. 9245203 - Collecting information relating to identity parameters of a vehicle (2016-01-26),
9. 8704889 - Method and apparatus for acquiring images of car license plates (2014-04-22),
10. 8577088 - Method and system for collecting information relating to identity parameters of a vehicle (2013-11-05),
11. 8570377 - System and method for recognizing a unit load device (ULD) number marked on an air cargo unit (2013-10-29),
12. 8320629 - Multi-level neural network based characters identification method and system (2012-11-27),
13. 8194913 - Character recognition system and method (2012-06-05),
14. 8184852 - Character recognition system and method for shipping containers (2012-05-22),

Title: Yoram Hofman: Innovator in Cloud-Based Technologies

Introduction

Yoram Hofman is a prominent inventor based in Kefar Bialik, Israel. He has made significant contributions to the field of technology, particularly in cloud-based systems and image processing. With a total of 14 patents to his name, Hofman continues to push the boundaries of innovation.

Latest Patents

Hofman's latest patents include groundbreaking work in cloud-based Automatic Number Plate Recognition (ANPR) management. This patent outlines systems and methods for cloud-based device management, where a processing device receives images, processes them to identify various identifiers, and determines permission statuses based on an information repository. Additionally, he has developed dynamic image capture and processing systems, which involve processing multiple video streams captured with different parameters to provide optimized outputs.

Career Highlights

Throughout his career, Yoram Hofman has worked with notable companies such as Hi-Tech Solutions Ltd. and Omniq Corporation. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects that leverage advanced technology.

Collaborations

Hofman has collaborated with talented individuals in the industry, including Lev Nikulin and Igal Dvir. These partnerships have fostered a creative environment that has led to the development of cutting-edge technologies.

Conclusion

Yoram Hofman's work exemplifies the spirit of innovation in the technology sector. His contributions to cloud-based systems and image processing continue to influence the industry and inspire future inventors.

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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