Niosha Kayhani

Title: Niosha Kayhani: Innovator in Machine Vision and Transit Systems

Introduction

Niosha Kayhani is a prominent inventor based in Sutton, GB, known for her significant contributions to the fields of machine vision and transit systems. With a total of nine patents to her name, she has developed innovative technologies that enhance user experience and operational efficiency.

Latest Patents

One of her latest patents is for self-initializing machine vision sensors. This invention discloses techniques for performing an initialization process for a set of field-of-view (FOV) sensors using initialization modules that can be attached to or integrated with the sensors. The system detects a vertical distance associated with the FOV sensors and an inter-module distance between two initialization modules. It determines whether the placement of the second module with respect to the first is acceptable based on these distances, generating a feedback signal to indicate the placement's acceptability.

Another notable patent is for a dynamically responsive real-time positioning feedback system. This system provides feedback to transit users by detecting location data regarding their movements within a transit system through a tracking device. Upon receiving an intent to validate from the user, the system determines successful validation based on location data and generates instructions for a feedback signal. This signal is then outputted by a feedback device within the transit system, indicating successful validation.

Career Highlights

Niosha has worked with notable companies, including Cubic Corporation, where she has applied her expertise in developing advanced technologies. Her work has significantly impacted the efficiency and effectiveness of transit systems and machine vision applications.

Collaborations

Throughout her career, Niosha has collaborated with talented individuals such as Steffen Reymann and Erik Vlugt, contributing to the advancement of her innovative projects.

Conclusion

Niosha Kayhani's contributions to technology through her patents and collaborations highlight her role as a leading inventor in her field. Her work continues to influence advancements in machine vision and transit systems, showcasing her commitment to innovation.