競賽專案 · 邊緣運算 · 2023Competition · Edge Computing · 2023
邊緣運算無人機Edge-Computing UAV
自組四旋翼無人機搭載樹莓派與相機，於機上進行 YOLO 影像辨識並即時回傳雲端。A self-built quadrotor with Raspberry Pi + camera running on-board YOLO inference and streaming to the cloud.
概述Overview
以實驗室自組四旋翼無人機為主體，搭載樹莓派與相機模組，透過邊緣運算在機上以 YOLO 進行影像辨識（搜尋指定目標），並將空中視角即時傳輸至雲端資料庫供監控端取用。以 Mission Planner（3DR 地面站軟體）進行航點設置與飛行參數調整，並以 3D 列印（PLA／PET）製作最符合需求的客製化機架零件。為 2023 大專校院機電智慧暨電動載具創意實作競賽參賽作品。 Built on a lab-assembled quadrotor carrying a Raspberry Pi and camera, it runs edge inference with YOLO on-board (searching for a designated target) and streams the aerial view to a cloud database for a monitoring station. Waypoints and flight parameters are set in Mission Planner (3DR ground station), and custom airframe parts are made by 3D printing (PLA/PET). Entry for the 2023 national EV & mechatronics innovation contest.
重點Highlights
- 樹莓派 + 相機：機上邊緣運算。Raspberry Pi + camera: on-board edge computing.
- YOLO 目標偵測（搜尋指定目標）。YOLO target detection (searching for a designated object).
- 空中影像即時回傳雲端，供監控端取用。Aerial imagery streamed to the cloud in real time for monitoring.
- Mission Planner 航點設置與飛行參數。Mission Planner waypoint setup and flight parameters.
- 3D 列印（PLA／PET）客製化機架零件。3D-printed (PLA/PET) custom airframe parts.