Kevin Tajeran

Title: Kevin Tajeran: Innovator in Semantic Analysis and Error Detection

Introduction

Kevin Tajeran is a prominent inventor based in Roseville, CA (US). He holds a total of 7 patents that showcase his expertise in semantic analysis and error detection technologies. His innovative contributions have significantly impacted the fields of video data analysis and multi-edit session management.

Latest Patents

One of Tajeran's latest patents focuses on the semantic analysis of video data for event detection and validation. This patent presents methods, systems, and computer programs designed to perform semantic analysis of video data. The approach includes training a machine-learning model with text-image pairs to create a semantic model. This model generates text embeddings based on event descriptions and image embeddings from video frames. The system calculates similarity values between these embeddings to determine event occurrences when the similarity exceeds a predetermined threshold. This technology enhances monitoring efficiency by analyzing object relationships and attributes within video frames, thereby reducing false alarms.

Another significant patent by Tajeran involves error detection and correction for multiple document editors. This innovation provides just-in-time error detection and correction within a multi-edit session. The system operates across a subset of devices within a network, each with its own set of network configuration parameters. By utilizing a restricted grammar language (RGL) rule set, the system can detect edits to configuration information and compare them to the RGL. This allows for the presentation of suggestions or corrections to users, enhancing the editing experience.

Career Highlights

Throughout his career, Kevin Tajeran has worked with notable companies such as Hewlett Packard Enterprise Development LP and Spot AI, Inc. His experience in these organizations has contributed to his development as an inventor and innovator in technology.

Collaborations

Tajeran has collaborated with talented individuals in the field, including Frank J. Wood and Gurraj Atwal. These partnerships have fostered innovation and creativity in his projects.

Conclusion

Kevin Tajeran's contributions to semantic analysis and error detection technologies demonstrate his commitment to innovation. His patents reflect a deep understanding of complex systems and a drive to enhance efficiency in technology. His work continues to influence the industry and inspire future advancements.