This inventor holds 1 USPTO granted patent. Top assignees: Carnegie Mellon University, University of Rochester. Active years: 2020.
Company Filing History:
1 out of 1,181 
1 out of 994 
Years Active: 2020
Title: Jason Wiese: Innovator in Intelligent Sensor Systems
Introduction
Jason Wiese is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of sensor technology, particularly through his innovative patent that combines crowd sourcing and machine learning. His work aims to enhance the capabilities of intelligent sensing systems for end users.
Latest Patents
Wiese holds a patent titled "System and method for adaptive, rapidly deployable, human-intelligent sensor feeds." This patent describes a sensor system that provides users with intelligent sensing capabilities. It utilizes crowd sourcing and machine learning to ensure accurate sensor output. The system requires minimal and non-permanent sensor installation by using any device with a camera as a sensor host. This approach results in human-centered and actionable sensor data.
Career Highlights
Throughout his career, Jason Wiese has worked with prestigious institutions such as Carnegie Mellon University and the University of Rochester. His experience in these organizations has allowed him to develop and refine his innovative ideas in sensor technology.
Collaborations
Wiese has collaborated with notable individuals in his field, including Jeffrey P. Bigham and Gierad Laput. These collaborations have contributed to the advancement of his research and the development of his patented technologies.
Conclusion
Jason Wiese is a prominent figure in the realm of intelligent sensor systems, with a focus on integrating crowd sourcing and machine learning. His innovative patent and career achievements reflect his commitment to enhancing sensing capabilities for users.