Málaga, Spain

Manuel Martinez Alonso

This inventor holds 3 USPTO granted patents and 3 published patent applications. Top assignee: Autodesk, Inc.. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Manuel Martinez Alonso. Retrieved from https://idiyas.com/inventor/manuel-martinez-alonso

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

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 5.6

ph-index = 1


Company Filing History:


Years Active: 2023-2026

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3 patents (USPTO):Explore Patents

Title: Innovations by Manuel Martinez Alonso

Introduction

Manuel Martinez Alonso is an accomplished inventor based in Malaga, Spain. He has made significant contributions to the field of machine learning, particularly in the extraction of architectural elements from drawings. With a total of 3 patents, his work is paving the way for advancements in building information modeling.

Latest Patents

One of his latest patents is titled "Machine learning techniques for extracting floorplan elements from architectural drawings." This invention outlines a technique for extracting data from architectural drawings by utilizing machine learning models. The process involves generating a boundary segmentation based on the extracted images of floorplan areas. Another notable patent is "Building information model (BIM) element extraction from floor plan drawings using machine learning." This method enables the generation and use of synthetic data to extract elements from floor plan drawings, enhancing the accuracy and efficiency of architectural design.

Career Highlights

Manuel currently works at Autodesk, Inc., a leading company in design software. His role involves leveraging his expertise in machine learning to improve architectural drawing processes. His innovative approaches are contributing to the evolution of design technologies.

Collaborations

Manuel collaborates with talented individuals such as Yan Fu and Keith Alfaro. Their combined efforts are driving forward the development of cutting-edge solutions in the field of architecture and design.

Conclusion

Manuel Martinez Alonso is a notable inventor whose work in machine learning is transforming the way architectural elements are extracted and utilized. His patents reflect a commitment to innovation and excellence in the field.

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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