Design and Implementation of a Garbage Classification Recognition Mini Program Based on Deep Learning
With the acceleration of urbanization process,the problem of garbage classification is becoming increasingly prominent.The paper designs and implements a garbage classification recognition Mini Program based on Deep Learning to improve the efficiency and accuracy of garbage classification.This program can perform garbage classification queries through three methods of text search,voice search,and photo recognition.It can improve residents'knowledge of garbage classification through personal sharing and online Q&A.The experimental results show that the program has high recognition accuracy and real-time performance,and can provide effective technical support for urban garbage classification.
Deep Learninggarbage classificationsearchidentification
国家科技期刊平台
NSTL
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