This inventor holds 4 USPTO granted patents. Top assignee: Unicotech Portugal, Unipessoal Lda. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Svetlana Efimova: Innovator in Liveness Detection Technology
Introduction
Svetlana Efimova is a prominent inventor based in Dubai, AE. She has made significant contributions to the field of liveness detection technology, holding a total of 4 patents. Her work focuses on developing systems and methods that enhance security measures against presentation attacks.
Latest Patents
Svetlana's latest patents include innovative solutions such as the "Out-of-distribution model for liveness detection." This patent describes systems and methods for detecting presentation attacks by utilizing datasets of original images and attack samples. The model creates a feature space that distinguishes between legitimate samples and potential threats. Another notable patent is "Cascade ensembles for liveness detection," which outlines a multi-level approach to threat detection. This method involves analyzing images or videos through various filters and models to classify them as original or fake, ensuring a robust defense against various types of threats.
Career Highlights
Svetlana Efimova is currently employed at Unicotech Portugal, Unipessoal Lda, where she continues to push the boundaries of technology in her field. Her expertise in liveness detection has positioned her as a key player in the industry, contributing to advancements that enhance security protocols.
Collaborations
Svetlana collaborates with talented individuals such as Yury Litvinov and Ivan Kryachko. Their combined efforts in research and development have led to innovative solutions that address critical challenges in liveness detection.
Conclusion
Svetlana Efimova's contributions to liveness detection technology exemplify her commitment to innovation and security. Her patents reflect a deep understanding of the complexities involved in threat detection, making her a valuable asset in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile