Falcon, JoseRangel, PabloMehrubeoglu, Mehrube2022-05-022022-05-022022-04https://hdl.handle.net/1969.6/90525The use of location and instruction markers for path planning in any set of unmanned aerial system’s tasks is crucial to the effectiveness of the individual unmanned aerial vehicles (UAVs). This research implements OpenCV algorithms that allow a UAV to use ArUco markers to receive data related to location and instruc- tion for the purposes of operation. OpenCV algorithms are utilized to develop vision-based solutions to enhance the capabilities of the UAV. The goal for the UAV’s operation includes image capture and image processing of objects using ArUco markers for instruction. The use of ArUco markers also increases the effectiveness of object detection for image capture by guiding the UAV. Some image processing techniques in- cluded in the experimentation are line contouring, erosion, and dilation where object detection and isolation are possible. This project utilizes OpenCV and Python libraries for the UAV’s instructional operation where image processing techniques are implemented on images that are transmitted over the network infrastructure as an application of Internet of Things (IoT).en-USmorphologystructural damage inspectionTELLO SDKmicrosoft azureIOT hubPresentation