| At present,people are accustomed to recording life with mobile phone cameras,and pictures are an important medium for recording information.Therefore,pictures exist in a large number of mobile phone albums.It is of positive significance to develop a camera that assists users in taking pictures and a system that can efficiently manage a large number of pictures in mobile phone albums.The main functions of camera apps in the mobile app store are beauty and filter angles,optimizing the photos taken by users,and few of them involve prompting users how to take photos.Some image management applications are only classified based on the time and location of the image,and there are also applications that classify the image based on the content of the image,but most of these applications require users to upload the image to the cloud space before classification,and for the label of the abstract semantic category a bit less.In order to better meet the needs of users for taking pictures,and to conveniently manage the pictures in mobile phone albums,this subject has designed and developed an auxiliary camera and smart album management system based on the Android platform under the background of the popularization of mobile devices.The main work of this paper is as follows:1.This article uses web crawler technology to collect 72 types of data,uses it to train the lightweight convolutional neural network model Mobile Net V3,and uses Tensorflow Lite to deploy the model on the mobile terminal.The trained model can be faster and more efficient.High accuracy rate realizes the classification of pictures based on the content,so as to realize the classification album of things;2.Training Mobile Facenets,a lightweight face recognition model,which can extract face features more efficiently on the mobile end,realize similar face matching by comparing face features,and form face classification album with it;3.This system is designed and developed based on Android assistant camera and intelligent album management application,the main functions include album management,assistant photography and picture management.This article realizes the efficient management of the mobile phone system albums through intelligent classification of albums,and the auxiliary camera assists users to take pictures based on professional photography knowledge,which can better meet the user’s photographing needs.The deployment test shows that the modules of this application run smoothly and steadily. |