Academy & Industry Research Collaboration Center (AIRCC)

Volume 9, Number 12, September 2019

Deep Learning through Environmental Detection

  Authors

Junyi Lu1, Yu Sun1 and Fangyan Zhang2, 1California State Polytechnic University, USA and 2ASML, USA

  Abstract

Many of the urban areas are highly polluted. They are aware of the damage caused by pollution but lack efficient and economical solutions to address it. The purpose of this project is to design a portable pollution sensor that is able to communicate with an online database and allow users to access data through the internet. The algorithm of machine learning is able to create data models to predict future pollution level with existed data values.

  Keywords

Deep Learning, Environmental detection, Machine Learning, Wireless Network