基于机器视觉的垃圾智能分类系统设计与实现

Design and Reality of the Intelligent Garbage Classification System based on Machine Vision

针对当前居民垃圾分类知识欠缺、源头分类环节缺失等问题,利用机器视觉技术和Edge Impluse神经网络分类算法,并结合分类机构,设计并实现了一款家庭智能分类垃圾桶。该垃圾桶可实现对垃圾种类的识别、自动分类入桶及语音播报等功能,代替人为分类完成垃圾的自动分类,大大提升了垃圾分类的准确性。

In view of the current lack of garbage classification knowledge and lack of source classification link,a home in telligent classificati on garbage can using machi ne vision tech no logy and Edge Impulse n eural n etwork classification algorithm,and combined with classification institutions was designed and implemented.The garbage can can realize the functions of garbage type identification,automatic classification into the bucket and voice broadcast,and complete the garb age automatic classificati on in stead of artificial classificati on,which greatly improves the accuracy of garbage classification.