This project aims to develop a modular drone with a standardized interface, allowing it to be easily reconfigured for various tasks. By designing interchangeable modules, the drone can adapt to different objectives without requiring a complete redesign. For example, one module functions as a vegetable identifier, using image recognition to assess the ripeness of fruits, aiding in agricultural monitoring. Another module transforms the drone into a dog walker, enabling it to follow a dog during nighttime walks while providing illumination with a built-in flashlight. This flexible, multi-purpose design enhances the drone’s utility across diverse use cases, making it a powerful and adaptable tool.

Our team collaborated with Computer Science & Engineering 35,Mechanical Engineering 6 on this project.