Company Filing History:
Years Active: 2021-2023
Title: Amr Elrasad: Innovator in Event Detection Technology
Introduction
Amr Elrasad is a prominent inventor based in Galway, Ireland. He has made significant contributions to the field of event detection technology, holding a total of 4 patents. His innovative work focuses on methods for generating textural images from event information captured by event cameras.
Latest Patents
Amr's latest patents include a method for producing a textural image based on an event count decay factor and net polarity. This method involves accumulating event information from multiple events occurring during successive event cycles across the field of view of an event camera. Each event indicates an x,y location, a polarity for a change in detected light intensity, and the event cycle during which it occurred. The process analyzes event information from preceding cycles to identify regions of interest for object tracking. When a threshold event criterion is met, a textural image is generated for the region of interest.
Another notable patent is focused on object detection for event cameras. Similar to his previous work, this method also accumulates event information and analyzes it to generate textural images for regions of interest. These advancements are crucial for enhancing the capabilities of event cameras in various applications.
Career Highlights
Amr Elrasad is currently employed at Fotonation Limited, where he continues to develop innovative technologies in the field of imaging and event detection. His work has positioned him as a key figure in advancing the capabilities of event cameras.
Collaborations
Amr collaborates with talented individuals such as Cian Ryan and Richard Blythman, contributing to a dynamic team focused on pushing the boundaries of technology in their field.
Conclusion
Amr Elrasad's contributions to event detection technology through his patents and work at Fotonation Limited highlight his role as an influential inventor. His innovative methods for generating textural images from event information are paving the way for advancements in imaging technology.