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首页> 外文会议>IEEE International Conference on Engineering Technologies and Applied Sciences >PET-Bottle-Recognizer: A Machine Vision Recognition of Polyethylene-Terephthalate Based- Bottle for Plastic Waste Classification and Recycling
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PET-Bottle-Recognizer: A Machine Vision Recognition of Polyethylene-Terephthalate Based- Bottle for Plastic Waste Classification and Recycling

机译：宠物瓶识别器：用于塑料废物分类和回收的聚乙烯 - 对苯二甲酸乙二醇酯的机器视觉识别

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摘要

Recycling of waste materials has been important and well known for the benefits of the environment or economic reasons. The industry still demands efficiency in detecting waste bottles in the surroundings. In this study, the researcher proposed a waste bottle detection system to identify an object such as a waste bottle that was thrown in the surroundings. The proponent used mean average precision (mAP) to evaluate the performance of the model. Upon testing the researcher obtained an accuracy of 100% for the detection of images that was fed in the system. To evaluate the model, the model obtained an accuracy of 85.70% which is good enough. The researcher concluded that the system is efficient in detecting waste bottles. This study is promising to reduce waste in the environment.
机译：废料的回收是重要的，对于环境或经济原因的好处来说是重要的。 该行业仍然需要效率检测周围环境的废物。 在这项研究中，研究人员提出了一种废水瓶检测系统，以识别诸如在周围抛出的废物瓶之类的物体。 Proponent使用平均平均精度（MAP）来评估模型的性能。 在测试后，研究人员获得了在系统中喂养的图像的100％的精度。 为了评估模型，模型获得了85.70％的精度，足以足够好。 研究人员得出结论，该系统在检测废物瓶中有效。 本研究很有希望减少环境中的浪费。

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