Keyur N Parikh

Title: Keyur N Parikh: Innovator in Machine Learning for Autonomous Vehicles

Introduction

Keyur N Parikh is a notable inventor based in San Diego, CA. He has made significant contributions to the field of machine learning, particularly in the development of automated object recognition systems for unmanned autonomous vehicles. His innovative approach combines advanced neural networks with image capture technology to enhance the capabilities of autonomous systems.

Latest Patents

Keyur N Parikh holds a patent for a groundbreaking invention titled "Machine learning based automated object recognition for unmanned autonomous vehicles." This patent describes a platform that includes an image capture system connected to a controller implementing a neural network. The neural network is trained to associate visual features within the environment with a target object using a known set of input data examples and labels. The system captures input images from the environment, recognizes features that match the target object, and determines the geospatial position of the target object based on labeled input images. A class activation map is generated and communicated to a supervisory system for action. This innovative technology has the potential to significantly improve the functionality of autonomous vehicles.

Career Highlights

Keyur N Parikh is currently associated with the United States Navy, where he contributes his expertise in machine learning and autonomous systems. His work is instrumental in advancing the capabilities of unmanned vehicles, making them more efficient and reliable in various operational environments.

Collaborations

Keyur has collaborated with talented individuals such as Daniel J Gebhardt and Iryna P Dzieciuch. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Keyur N Parikh is a distinguished inventor whose work in machine learning and autonomous vehicles is paving the way for future advancements in the field. His patent on automated object recognition showcases his commitment to innovation and the enhancement of unmanned systems.