Location History:
- Menlo Park, CA (US) (2021)
- London, GB (2019 - 2023)
Company Filing History:
Years Active: 2019-2025
Title: Stef Marc Smet: Innovator in Augmented Reality
Introduction
Stef Marc Smet is a prominent inventor based in London, GB. He has made significant contributions to the field of augmented reality, holding a total of 14 patents. His innovative work focuses on enhancing user interaction through voice recognition technology.
Latest Patents
One of Stef's latest patents is a visual editor for designing augmented-reality effects that utilize voice recognition. This computer-implemented method involves receiving selections through a user interface (UI) of an artificial-reality (AR) design tool. It allows users to configure AR effects by adding a voice-command module, which can be customized with various parameters. The method generates AR effects based on specific voice commands at runtime, enhancing the overall user experience.
Another notable patent involves a similar computer-implemented method that establishes a logical connection between a voice-command module and a logic module. This innovation enables the generation of executable programs that can determine user intent based on detected utterances, further streamlining the interaction process in augmented reality applications.
Career Highlights
Stef has worked with leading technology companies, including Facebook, Inc. and Meta Platforms, Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in the tech industry.
Collaborations
Throughout his career, Stef has collaborated with talented individuals such as Michael Slater and Guilherme Schneider. These partnerships have fostered a creative environment that has led to the development of innovative solutions in augmented reality.
Conclusion
Stef Marc Smet is a visionary inventor whose work in augmented reality continues to push the boundaries of technology. His patents reflect a commitment to enhancing user interaction through innovative voice recognition methods.