Identification of Traditional Chinese Medicine Based on Internet of Things Technology

Abstract

AbstractThe development of the Internet of Things (IoT) has become one of the focuses of attention in the IT field and society at home and abroad. The Internet of Things is an emerging next-generation network that integrates radio frequency identification technology, wireless data communication technology and computer technology on the basis of the Internet. It has broad application prospects and high research value. Our country has used Chinese medicinal materials to treat diseases for thousands of years. In long-term medical practice, Chinese medicine has formed its unique theoretical system, which has good therapeutic effects and small side effects. As China’s national treasure, Chinese medicinal materials are an indispensable material foundation for the people to prevent and treat diseases, and they are also a very important part of my country’s medical industry. There are many types of Chinese medicinal materials, but the number of fake and inferior products on the market is not uncommon, and it is difficult for non-professionals to correctly identify them, which seriously hinders the sound development of the Chinese medicine industry. Therefore, it is extremely urgent to develop and establish a systematic identification technology for Chinese medicinal materials. However, traditional identification methods rely too much on manual intervention, which is subjective and costly. Secondly, the existing computer-aided identification methods are mainly based on machine learning algorithms for research, and their identification accuracy is low and time-consuming. In response to the above problems, this article mainly uses the Internet of Things technology to identify Chinese medicines. This article is based on the Internet of Things technology image classification and recognition algorithm for Chinese medicinal materials, and compares with traditional machine learning algorithms, optimizes the training of the neural network and constructs independent Chinese medicinal materials images the library ultimately improves the accuracy and objectivity of the classification and identification of Chinese medicinal materials.KeywordsInternet of ThingsChinese medicine recognitionDeep learningImage fusion