2024-08-16

【學術亮點】基於深度學習的野鳥檢測並結合雷射旋轉機械的自動野鳥驅趕系統

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【學術亮點】基於深度學習的野鳥檢測並結合雷射旋轉機械的自動野鳥驅趕系統
Intelligent Animal Husbandry: Development of intelligent and sustainable animal farming models
Department of Bio-industrial Mechatronics Engineering / Yao-Chuan Tsai/ Associate Professor
智慧農牧場:應用行為指標建構智慧化永續生產飼養模式【生物產業機電工程學系蔡燿全副教授】
論文篇名 英文:Automatic wild bird repellent system that is based on deep-learning-based wild bird detection and integrated with a laser rotation mechanism
中文:基於深度學習的野鳥檢測並結合雷射旋轉機械的自動野鳥驅趕系統
期刊名稱 Scientific Reports
發表年份, 卷數, 起迄頁數 2024, 14(1), 15924.
作者 Yu-Chieh Chen, Jing-Fang Chu, Kuang-Wen Hsieh, Tzung-Han Lin, Pei-Zen Chang, and Yao-Chuan Tsai(蔡燿全)*
DOI 10.1038/s41598-024-66920-2
中文摘要 這項研究中,我們開發了一套自動野鳥驅趕系統,該系統基於深度學習的野鳥檢測技術,並結合雷射旋轉機械。當野鳥出現在農場時,該系統透過相機拍攝的影像,檢測到鳥類的位置,並使用雷射光束將其驅趕。該系統的野鳥檢測模型經過優化,專門用於檢測小像素目標,並通過深度學習方法進行訓練,訓練資料來自於不同農場拍攝的野鳥影像。這套自動野鳥驅趕系統在台灣雲林的一個戶外鴨場進行了多次野鳥驅趕實驗。實驗數據的統計檢驗結果顯示,該系統有效地減少了農場內野鳥的數量。實驗結果表明,開發的系統每日具有高達40.3%的驅趕率,能夠有效驅趕野鳥。
英文摘要 Wild bird repulsion is critical in agriculture because it helps avoid agricultural food losses and mitigates the risk of avian influenza. Wild birds transmit avian influenza in poultry farms and thus cause large economic losses. In this study, we developed an automatic wild bird repellent system that is based on deep-learning-based wild bird detection and integrated with a laser rotation mechanism. When a wild bird appears at a farm, the proposed system detects the bird’s position in an image captured by its detection unit and then uses a laser beam to repel the bird. The wild bird detection model of the proposed system was optimized for detecting small pixel targets, and trained through a deep learning method by using wild bird images captured at different farms. Various wild bird repulsion experiments were conducted using the proposed system at an outdoor duck farm in Yunlin, Taiwan. The statistical test results of our experimental data indicated that the proposed automatic wild bird repellent system effectively reduced the number of wild birds in the farm. The experimental results indicated that the developed system effectively repelled wild birds, with a high repulsion rate of 40.3% each day.
發表成果與AI計畫研究主題相關性 基於AI技術自動化辨識野鳥,由Jetson nano搭配可見光相機進行邊緣運算,運算完畢將施打雷射以驅逐野鳥,降低因為野鳥帶來的禽流感發生風險。演算法利用Mask-RCNN辨識野鳥,接著計算畫面中各個區域的野鳥數量,計算出最多野鳥數量的區域後,施打雷射將野鳥嚇跑,最多野鳥的區域被驅離後,其他區域的野鳥也會跟著飛離,達成降低野鳥數量的效果。
上架日期:2024/07/10
 
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