  This paper introduces DroneVis, a novel library designed to automate computer
vision algorithms on Parrot drones. DroneVis offers a versatile set of features
and provides a diverse range of computer vision tasks along with a variety of
models to choose from. Implemented in Python, the library adheres to
high-quality code standards, facilitating effortless customization and feature
expansion according to user requirements. In addition, comprehensive
documentation is provided, encompassing usage guidelines and illustrative use
cases. Our documentation, code, and examples are available in
https://github.com/ahmedheakl/drone-vis.
