2015-317 – Zensors: Adaptive, Rapidly Depoyable, Human-Intelligent Sensor Feeds

The Zensors system provides end-users with intelligent sensing capabilities, and embodies both crowdsourcing and machine learning together. This system solves a persistent problem which requires expensive and specific sensors to be placed throughout a “smart” environment, and the development directed toward training these sensors. A concept embodied in this invention is Zensor’s use of sporadic crowd assessment and machine learning to ensure continued sensor accuracy. This sensor approach requires minimal and non-permanent sensor installation by utilizing any device with a camera as a sensor host, and provides human-centered and actionable sensor output. Cindy Lou Chepanoske cchepano@andrew.cmu.edu 412-268-2979

Related Blog

Smart, interactive desk

Get ready to take your space management game to the next level with the University of Glasgow’s innovative project! By combining the

Mechanical Hamstring™

University of Delaware Technology Overview This device was created to allow athletes who suffer a hamstring strain to return to the field

Join Our Newsletter

                                                   Receive Innovation Updates, New Listing Highlights And More