Over 97% of U.S. airports are not equipped with control towers. As a result, these airports need an alternative solution to monitor their airport-level aircraft operations, including departures, arrivals, and touch-and-goes. The current research project uses computer vision techniques to develop a machine vision system capable of detecting, counting, and identifying aircraft operations at general aviation non-towered airports.