Company Filing History:
Years Active: 2025
Title: András Németh: Innovator in Computer Vision and Data Processing
Introduction
András Németh is a prominent inventor based in Budapest, Hungary. He has made significant contributions to the fields of computer vision and data processing, holding a total of 2 patents. His innovative work focuses on translating sign language and simulating changes to categorical features, showcasing his expertise in machine learning and technology.
Latest Patents
Németh's latest patents include a groundbreaking system for a computer vision-based sign language interpreter. This invention involves a method for translating sign language utterances into a target language. The process includes receiving motion capture data, producing phonemes and sign fragments, and generating output utterances in the target language based on grammatically parsed sign utterances.
Another notable patent is related to data processing methods and systems for simulating changes to categorical features. This method involves receiving a current categorical feature set for a subject and inputting these features into trained machine learning models. The outcome is a predicted outcome dataset that includes both current and simulated predicted outcome values for the subject.
Career Highlights
Throughout his career, András Németh has worked with notable companies such as Lynx Analytics and Snap Inc. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects that push the boundaries of technology.
Collaborations
Németh has collaborated with talented individuals in his field, including Dániel Darabos and Péter Erben. These partnerships have fostered a creative environment that encourages the development of cutting-edge solutions.
Conclusion
András Németh is a distinguished inventor whose work in computer vision and data processing has the potential to impact various industries. His patents reflect a commitment to innovation and a deep understanding of technology.