This inventor holds 1 USPTO granted patent and 2 published patent applications and 2 EPO patents. Top assignee: Irdeto B.v.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Alireza Sepas-moghaddam: Innovator in Image Recognition Technology
Introduction
Alireza Sepas-moghaddam is a notable inventor based in Kingston, Canada. He has made significant contributions to the field of image recognition technology. His innovative work focuses on systems and methods that enhance the efficiency and accuracy of image data processing.
Latest Patents
Alireza holds a patent for "Systems, methods, and storage media for creating image data embeddings to be used for image recognition." This patent describes implementations that include a method, apparatus, and computer media for learning an optimal graph in the form of a tree topology. This topology defines a sequence that can be utilized by a learning network for image recognition. The process involves receiving image data representing an object, detecting N landmarks using a deep regression algorithm, and constructing a weighted, fully connected graph from these landmarks. An optimized tree structure is then determined, and a series of embeddings representing the object image are generated for processing by a neural network.
Career Highlights
Alireza is currently employed at Irdeto B.V., where he continues to develop innovative solutions in the realm of image recognition. His work has garnered attention for its potential applications in various industries, including security and artificial intelligence.
Collaborations
Alireza has collaborated with talented individuals such as Ali Etemad and Mojtaba Kolahdouzi. These partnerships have contributed to the advancement of his research and the successful implementation of his patented technologies.
Conclusion
Alireza Sepas-moghaddam is a pioneering inventor whose work in image recognition technology is shaping the future of how machines interpret visual data. His contributions are significant and continue to influence advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
