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https://dspace.iiti.ac.in/handle/123456789/16421
Title: | Drone design for object detection using YOLOv8 |
Authors: | Yamalakonda, Venu Gopal |
Keywords: | Drone-based object detection;Hexacopter development;YOLOv8 (You Only Look Once) |
Issue Date: | 2025 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Prakash, P., Yamalakonda, V. G., & Singh, A. K. (2025). Drone design for object detection using YOLOv8. ICE 2025 - International Conference on Innovation in Computing and Engineering. https://doi.org/10.1109/ICE63309.2025.10984333 |
Abstract: | 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. © 2025 IEEE. |
URI: | https://dx.doi.org/10.1109/ICE63309.2025.10984333 https://dspace.iiti.ac.in:8080/jspui/handle/123456789/16421 |
Type of Material: | Conference Paper |
Appears in Collections: | Department of Electrical Engineering |
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