Christine Li¹, Yujia Zhang², ¹USA, ²California State Polytechnic University, USA

This paper proposes a novel solution for tracking the 3D printing process using an application that provides users with real-time updates on its progress [1]. The approach involves taking pictures of the 3D printer during the printing process, which are then analyzed by an AI model trained on thousands of labeled images to detect print failures [2]. The system is implemented using a Raspberry Pi and a camera, which capture images of the 3D printer and upload them to an online database [3]. The proposed application accesses this database to keep the user informed of the printer's current state, ensuring a seamless printing experience.

3D Printing, Machine Learning, Computer Vision, AI