This document discusses using computer vision and machine learning to detect and target squirrels in a backyard. It describes using OpenCV with Python to capture video from a webcam and detect squirrels using support vector machines trained on blob size, color histograms, and entropy features. The goal is to integrate these techniques with an Arduino-controlled turret armed with a water gun to deter squirrels from raiding bird feeders. The presenter notes some challenges in accuracy and firepower and proposes next steps to improve the system before opening up to questions.