The goal of our automatic waste scanner is to inform consumers precisely where their various restaurant provided waste should go. In this phase we successfully developed a medium-fidelity prototype scanner that identifies which bin a user should dispose their trash through a GUI and self-actuating trash lids while recording a live waste diversion rate. This scanner fills a necessary product opportunity gap and highlighted future implications and advancements to best improve restaurant sustainability.
|
Demo Video |
|
I am excited to share the story of Andrew Scott Meyers (a student of University of California ) and his colleagues who used #ImageAI to power an Intelligent Waste Management project at the just concluded UC Berkeley Design Innovation showcase that took place on Wednesday...1/4 pic.twitter.com/8J8HfsuCBa
— Olafenwa Moses (@OlafenwaMoses) May 11, 2019
Github
|