出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：As an act of disposing waste and maintaining homeostasis, humans have to use the restroom
multiple times a day. One item that is consumed in the process is toilet paper; it often runs
out easily in the most inconvenient times. One of the most fatal positions to be in is to be
stuck without toilet paper. Since humans are not capable of a 100% resupply rate, we
should give this task to a computer. The approach we selected was to use a pair of laser
sensors to detect whether toilet paper was absent or not. Utilizing an ultrasound sensor, we
would be able to detect whether a person was nearby and send a notification to a database.
The online app, PaperSafe, takes the information stored and displays it onto a device for
quick access. Once a sufficient amount of data is acquired, we can train a machine learning
algorithm to predict the next supply date, optimized for the specific scenario.
关键词：Amenity; Homeostasis; Machine Learning; Mobile Application
