The purpose of this project was to create a Convolutional Neural Network (CNN) in MATLAB that could identify/classify handwritten integers from 0-9 with a 95% testing accuracy rate. Once trained and tested the CNN was uploaded to a microcontroller that was connected to a camera to identify handwritten digits in real time.