Food quality inspection using vision, machine learning and robotics

This project shows an integrated system of machine vision, machine learning and robotics. A sensor signals the camera to acquire an image. The image is then processed for feature extraction using computer vision. An Artificial Neural Network was trained using features and class labels. A real time inspection has been conducted using the trained network deployed in MATLAB.