Navigating the unseen: developing robotic “Bee” vision

Support the deployment of a custom UV camera for field operation on a drone. The UV camera is specific to our research project and was already used for crop monitoring in a fixed setup. The drone to deploy the camera is designed and manufactured by a partner organization, which will provide all the required design files to integrate the new device. The integration requires both hardware work and software work. The drone enclosure must be adapted to fit the camera sensors and cables. A ROS (Robotic Operating System) node for the camera image capture and process will be implemented based on project’s previous works (segmentation from thresholding and machine learning algorithm). The intern will learn Python scripting in ROS for the project and refine mechanical design based on feedback. Student will observe drone testing and data collection to further refine mechanical and script design. Expected outcomes include data analysis in field, data collection from field flight, a design document, brief presentation to Montreal team, and a final report.

Faculty Supervisor:

David St-Onge

Student:

Partner:

Rochester Institute of Technology

Discipline:

Engineering

Sector:

Agriculture and Food; Technology; Aerospace

University:

École de technologie supérieure

Program: