Drone design for object detection using YOLOv8
In this ongoing work, we have designed a drone that is controlled by a wireless transmitter, utilizing the Pixhawk flight controller to ensure smooth and stable flight operations. Additionally, the drone features a camera for capturing aerial images and videos. The custom-built drone is capable of flying and detecting objects through a camera frame. We have incorporated the powerful YOLOv8 object detection algorithm for accurate object detection. The final results showcase drone-based object detection with high accuracy in milliseconds.
Authors
- Venu Gopal Yamalakonda (ORCID: https://orcid.org/0000-0001-5993-4738)
- Abhinoy Kumar Singh (ORCID: https://orcid.org/0000-0001-5004-6494)
- Prem Prakash (ORCID: https://orcid.org/0000-0001-6950-7836)
Institutions
- Indian Institute of Technology Patna (IN)
- Indian Institute of Technology Indore (IN)
Publication Details
- Published
- 2025-02-28
- DOI
- https://doi.org/10.1109/ice63309.2025.10984333
- Primary Topic
- IoT-based Smart Home Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00