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Development of Bottle Recycling Machine Using Machine Learning Algorithm

机译:利用机器学习算法开发瓶回收机

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Bottle Recycling Machine (BRM) plays a vital role in solving the issue of solid waste as used bottles are the major factors for water and land pollution. Here we propose novel design for Brmto collect the used bottles and classify them usingmachine learning algorithm. After classification separate mechanism has been implemented forrecycling of used bottles. The system consist raspberry-PI connected with camera and audio-visual interactive system. For encouraging users, reward is given through printed coupon generated using thermal receipt printer. Since there is no sensor available to detect plastic bottles, this task is done using machine learning algorithm. First step is acquisition of bottle Images and extracted features are given tonovel classifier (machine learning algorithm). The algorithm is developed on with python platform. Once bottles are identified and classified they aresorted using slider crank mechanism as per the type of bottle material. Sorted bottles are recycled using mechanical assembly. The proposed design of BRM provides accurate identification of bottle and effective recycling in low cost.
机译:瓶回收机(BRM)在解决固体废物问题方面起着至关重要的作用,因为用过的瓶是造成水和土地污染的主要因素。在这里,我们为Brmto提出了新颖的设计,以收集用过的瓶子并使用机器学习算法对它们进行分类。分类后,已实施了单独的机制来回收用过的瓶子。该系统包括与相机连接的树莓派和视听交互系统。为了鼓励用户,通过使用热敏票据打印机生成的打印优惠券给予奖励。由于没有可用的传感器来检测塑料瓶,因此该任务是使用机器学习算法完成的。第一步是获取瓶子图像,并将提取的特征提供给novel分类器(机器学习算法)。该算法是在python平台上开发的。识别并分类瓶子后,可根据瓶子材料的类型使用曲柄曲柄进行分类。分拣的瓶子通过机械组装回收。 BRM的拟议设计可准确识别瓶子并以低成本有效回收。

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