Berlin, Germany

Marco Spinaci

This inventor holds 4 USPTO granted patents and 4 EPO patents. Top assignee: Sap Se. Active years: 2020-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Marco Spinaci. Retrieved from https://idiyas.com/inventor/marco-spinaci

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


% Patents Active = 100.0

 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2020-2022

Loading Chart...
Loading Chart...
4 patents (USPTO):Explore Patents

Title: Marco Spinaci: Innovator in Optical Character Recognition

Introduction

Marco Spinaci is a prominent inventor based in Berlin, Germany. He has made significant contributions to the field of optical character recognition (OCR) through his innovative patents. With a total of 4 patents to his name, Spinaci continues to push the boundaries of technology and machine learning.

Latest Patents

One of Spinaci's latest patents is titled "Rotation and scaling for optical character recognition using end-to-end deep learning." This invention discloses system, method, and computer program product embodiments for OCR pre-processing using machine learning. In this embodiment, a neural network is trained to identify a standardized document rotation and scale expected by an OCR service performing character recognition. The neural network analyzes a received document image to identify the corresponding rotation and scale relative to the expected standardized values. In response to this identification, the document image is modified in the inverse to standardize the rotation and scale to match the format expected by the OCR service. Additionally, the neural network may perform both the standardization and character recognition using a shared computation graph.

Another notable patent is "Visually-aware encodings for characters." In this invention, a method inputs a set of images into a network and trains the network based on a classification of the images to one or more characters in a set of characters. The method obtains a set of encodings for the characters based on a layer of the network that restricts the output to a number of values. The set of encodings is then stored, allowing for retrieval when a corresponding character is determined.

Career Highlights

Marco Spinaci is currently employed at SAP SE, where he applies his expertise in machine learning and OCR technologies. His work at SAP SE has allowed him to develop innovative solutions that enhance the efficiency and accuracy of character recognition systems.

Collaborations

Spinaci collaborates with talented individuals in his field, including Johannes Hoehne and Anoop Raveendra Katti. These collaborations foster an environment of creativity and innovation, leading to groundbreaking advancements in technology.

Conclusion

Marco Spinaci is a key figure in the realm of optical character recognition, with a focus on machine learning applications. His contributions through patents and collaborations continue to shape the future of technology in this 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]
Loading…