This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: King Faisal University. Active years: 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: 2026
Title: Innovations of Ali Alharbi in Indoor Localization Technology
Introduction: Ali Alharbi is an accomplished inventor based in Al-Ahsa, Saudi Arabia. He has made significant contributions to the field of indoor localization technology. His innovative work focuses on enhancing user identification and event detection within various environments.
Latest Patents: Ali Alharbi holds a patent for a "System and method for indoor tag localization and identification." This system includes environment-specific tags positioned at known locations within an indoor setting. It utilizes a user-associated imaging device (UAID) that captures images of the environment. The UAID is equipped with a camera and a user tag for external identification. An image-tag processing system (ITPS) employs trained convolutional neural network (CNN) models to identify environment tags and determine the UAID's location and orientation. This technology enables accurate, real-time indoor localization and user identification, making it particularly useful in facilities such as hospitals and industrial environments. He has 1 patent to his name.
Career Highlights: Ali Alharbi is affiliated with King Faisal University, where he continues to advance his research and development in innovative technologies. His work has garnered attention for its practical applications in improving indoor navigation and user experience.
Collaborations: Some of his notable coworkers include Mohammed Alarfaj and Mustafa Althunayyan. Their collaborative efforts contribute to the ongoing research and development in the field of indoor localization.
Conclusion: Ali Alharbi's contributions to indoor localization technology demonstrate his commitment to innovation and practical solutions. His patent reflects a significant advancement in the ability to accurately identify and locate users in complex environments.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
