Apply deep learning image recognition technique to promote green consumer behavior

As the exhaustion of earth resource and climate change, people are paying more and more attention to the sustainable issues nowadays. Among these issues, the carbon emission is considered to be an important indicator in determining environmental impacts. However, lots of customers have limited understanding of the amount of carbon emission in their daily consumption. Thus, this research aims to utilize the Convolutional Neural Network (CNN) of Deep Learning to provide customers information about carbon emission while they are shopping, and consequently encourage customers’ behaviors in green consumption. This study will further integrate the technology with expense tracking software, which can help customers develop the habit of green consumption behavior to achieve better sustainable society.