Thornhill, Canada

Dan Rico

This inventor holds 1 USPTO granted patent and 2 published patent applications and 1 EPO patent. Top assignee: Seiko Epson Corporation. Active years: 2015.

USPTO Granted Patents = 1 

 

Average Co-Inventor Count = 10.0

ph-index = 1

Forward Citations = 19(Granted Patents)


Company Filing History:


Years Active: 2015

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1 patent (USPTO):Explore Patents

Title: Dan Rico: Innovator in Computer Vision Technology

Introduction

Dan Rico is a notable inventor based in Thornhill, CA. He has made significant contributions to the field of computer vision through his innovative patent. With a focus on improving training methods for object detection systems, Rico's work has the potential to enhance various applications in this rapidly evolving domain.

Latest Patents

Rico holds a patent titled "Method and apparatus for improved training of object detecting system." This invention provides an efficient solution for computer vision applications, allowing users with limited or no specialized knowledge in image processing and pattern recognition to create reliable vision systems. The patent emphasizes the use of computer rendering of CAD models to automate the dataset acquisition and labeling processes. By generating multiple processed samples from a few seed images, Rico's method accelerates the preparation of training data while ensuring high data quality. He has 1 patent to his name.

Career Highlights

Throughout his career, Dan Rico has worked with prominent companies such as Seiko Epson Corporation and Salient Imaging, Inc. His experience in these organizations has contributed to his expertise in developing advanced technologies in the field of computer vision.

Collaborations

Rico has collaborated with talented individuals in the industry, including Yury Yakubovich and Ivo Moravec. These partnerships have likely enriched his work and fostered innovation in his projects.

Conclusion

Dan Rico's contributions to computer vision technology through his patent demonstrate his commitment to advancing the field. His innovative approach to training object detection systems has the potential to empower users and improve the efficiency of vision applications.

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