1 Faculty of Environmental Sciences, VNU University of Science, Vietnam National University, Hanoi. Add: 334 Nguyen Trai Street, Thanh Xuan District, Ha Noi, Viet Nam; email@example.com, firstname.lastname@example.org, email@example.com
2 VNU Key Laboratory of Analytical Technology for Environmental Quality and Food Safety Control (KLATEFOS), VNU University of Science, Vietnam National University, Hanoi. Add: 334 Nguyen Trai Street, Thanh Xuan District, Ha Noi, Viet Nam; firstname.lastname@example.org
*Correspondence: email@example.com; Tel: +84–2438584995
Plastic bottle is using everyday causing critical problems to environment, especially sea environment. A large number of plastic bottles come back to continent from sea by wave and stuck at coastal zone. Plastic waste in general or plastic bottle in particular has bad effects on coastal ecology. Artificial intelligence (AI) is widely applied in many fields, including environment. In this research, we developed a plastic bottle waste detection AI model by using Python, Yolo3, TensorFlow, ImageAI to detect and monitor plastic bottles in a coastal zone. Thousands of photos have been used to train the AI model for increasing detection accuracy. An AI model for plastic bottle detection has been built. The AI model then was applied to monitor plastic bottle waste in a coastal zone. The results showed that AI could detect plastic bottles from video sources better than from photo sources. The AI detected 68.52% sample bottles from photo sources while it could detect 100% a single bottle and 96.05% multiple bottles from video sources. Color bottles were detected better than transparent bottles. The research found that AI is an efficient tool to monitor plastic bottle in a coastal zone. It can automatically monitor and detect plastic bottles at a beach or floating bottles on sea surface.
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