深度学习在果蔬识别领域的应用
Application of Deep Learning in Fruit and Vegetable Recognition

针对目前果蔬存储时间与安全问题，希望通过研究实现新鲜果蔬识别与系统时间记录，本文运用了Python语言、Flask框架、深度学习、爬虫、Xception算法等相关技术对系统的总体架构以及功能模块进行设计，实现了食物识别、腐败提醒等主要功能。通过实际测试后，系统运行稳定，能较好地减少因食用腐败食品而导致疾病的问题。
Aiming at the current problems of fruit and vegetable storage time and safety, we hope to achieve fresh fruit and vegetable identification and system time recording through research. The paper uses Python language, Flask framework, deep learning, crawlers, Xception algorithm and other related technologies to design the overall architecture of the system as well as functional modules, and realize the main functions such as food identification and spoilage reminder. After the actual test, the system runs stably and can better reduce the problem of diseases caused by eating spoiled food.