Design And Implementation Of Flower Recognition System Based On IOS Platform

With the development of computer vision technology,machine learning and big data technology are gradually deepening into people's lives.Intelligent products based on machine learning and big data technologies are affecting people's lives subtly.This article based on iOS mobile phone platform,combined with machine learning and big data technology,designed and implemented a mobile phone flower recognition system.The main research work of this paper is as follows:(1)In-depth overview of research status of flower recognition system based on iOS platform at home and abroad,and analysis of the significance of this study and social benefits.(2)An in-depth overview and analysis of the structure and principles of the deep convolutional neural network that implements the flower recognition system,and the use of GogoGLeNet deep convolutional neural network of the Caffe platform to achieve machine learning and training of seven common flowers.(3)Introduce the key technologies for implementing the iOS flower recognition system,including web crawler technology,iOS-related development technology,Core ML machine learning technology,and Caffe model transformation technology.(4)Design and implementation of the key functional modules of the flower recognition system,focusing on the identification of floral modules on the iOS platform.(5)Verify whether the flower recognition system can accurately classify and classify flowers that have been machine-learned,and use conventional test methods to test and verify..