Smart Vending Machine System Prototyped with Deep- and Machine-Learning Technologies

This paper proposes a smart vending machine system combined with deep learning and machine learning technologies. The proposed system is combined with temperature and camera sensor to obtain consumer without individual information and upload this information to cloud server. The system uses face recognition with deep learning to obtain the gender information. It uses the k nearest neighbors (KNN) machine learning method to group based on temperature, time, price and gender information. The proposed system relies on grouping information to dynamically adjust price in real time.