John Enyeart

Title: Innovations by John Enyeart in Threat Detection Technology

Introduction

John Enyeart is an accomplished inventor based in Las Vegas, NV (US). He has made significant contributions to the field of threat detection technology, particularly through his innovative patent. His work focuses on the extraction and classification of three-dimensional (3-D) objects from volumetric computed tomography (CT) data.

Latest Patents

John Enyeart holds a patent for "Automatic threat detection of volumetric computed tomography (CT) data." This patent involves extracting at least one 3-D object from the volumetric CT data, constructing a feature vector for each of the 3-D objects, and classifying each object as either a threat or benign using the feature vector and a set of truth threat and benign objects. This innovation has the potential to enhance security measures in various applications.

Career Highlights

Enyeart is currently employed at Telesecurity Sciences, Inc., where he continues to develop and refine technologies aimed at improving safety and security. His expertise in the field has positioned him as a valuable asset to the company and the industry at large.

Collaborations

Some of his notable coworkers include Samuel M. Song and Junghyun Kwon, who contribute to the collaborative efforts at Telesecurity Sciences, Inc. Their combined expertise fosters an environment of innovation and advancement in threat detection technologies.

Conclusion

John Enyeart's work in the field of threat detection through his innovative patent demonstrates his commitment to enhancing security technologies. His contributions are paving the way for more effective safety measures in various sectors.