Augusto Savaris

Title: Innovations by Augusto Savaris in Electronic Device Identification

Introduction

Augusto Savaris is an accomplished inventor based in Chicago, IL, known for his contributions to the field of electronic device identification. With a total of three patents to his name, Savaris has developed innovative methods that enhance security through the identification of electronic devices using emitted electromagnetic signals.

Latest Patents

Savaris's latest patents include groundbreaking technologies that utilize machine learning to identify electronic devices in a given area. One of his notable inventions is a method for electronic device identification using emitted electromagnetic signals. This technology improves both private and public security by determining the presence of humans and devices through trained machine learning models. These models learn the relationship between the metadata in broadcast electromagnetic signals and the types of devices present.

Another significant patent focuses on the detection of electronic device presence using emitted Bluetooth Low Energy (BLE) signals. This method identifies and counts the number of Bluetooth-enabled devices in an area, further enhancing security measures. By passively listening to and decoding BLE signals, the technology gains access to important metadata, which can be crucial for security assessments.

Career Highlights

Savaris is currently employed at Ubiety Technologies, Inc., where he continues to innovate in the field of electronic device identification. His work has positioned him as a key player in the development of technologies that leverage wireless data transfer protocols for improved security.

Collaborations

Some of Savaris's notable coworkers include Joseph Loftus and Michael Cox, who contribute to the collaborative environment at Ubiety Technologies, Inc. Their combined expertise fosters innovation and drives the development of cutting-edge technologies.

Conclusion

Augusto Savaris's work in electronic device identification showcases his commitment to enhancing security through innovative technologies. His patents reflect a deep understanding of machine learning and wireless communication, making significant contributions to the field.