Adaptive control of UAV in territory exploration
TERRADRÖNARE
Members:
Andrzej, Szymon, Kamil and Zuzanna
Project mentor: dr inż. Krystian Wojtkiewicz
Description
What do you intend to achieve? The project aims to develop an adaptive UAV system for territory exploration, combining semi-automated flight, a scent distribution mechanism for animal control, and real-time data collection. It will enhance control over environmental monitoring and wildlife management tasks.
What problem does your project solve? This project addresses the need for an efficient solution to monitor territories, recognize trees, and damage caused by wild boars, and manage wildlife through wolf scent distribution. By using scent distribution methods, the project ensures animal safety while providing wildlife management. The UAV system minimizes direct human intervention in wildlife areas, reducing stress on animals and enabling safer natural habitat.
What are the main business goals? The main business goals are to develop a fully functional UAV system for territory exploration, ensure compliance with local drone regulations, explore the possibility of creating custom UI, and conduct field-tested solutions for forest areas.
What added value will the project bring? The project will improve operational efficiency through semi-automation, reduce the time required for monitoring forests and animal control, and introduce innovative features such as scent distribution and real-time damage recognition.
Key Risks. We encountered delays in obtaining the drone from the university which severely affected progress. The outdated DJI Windows SDK forced us to switch to the DJI Mobile SDK during the project, which affected development and required a change of platform. Connection drone-PC and integration of image recognition software may pose another set of issues.
Tech Stack
Drone Controll - Java Android App, DJI Mobile SDK; Image Recognition - Python, Java, OpenCV, Yolov5; Ball Dispenser - Fusion360, Arduino, C++
Roadmap
Repositories