Research And Development Of Information Query System APP Based On Image Recognition

As people's life and work travel more and more unrestricted by the region,it has become an urgent need for people to obtain information about their strange environment in real time.It turns out that people are increasingly able to do real-time information relying on smart phones.However,traditional queries are more likely to enter queries through words and phonics,so it's inconvenient for users who don't know what other information is in front of them.In view of the above application requirements,this paper has studied and developed an information query system APP based on image recognition.Firstly,it collects the interested areas of images through the mobile phone camera.Secondly,our system automatically recognizes the specific scenes using image recognition technology.And then presents a variety of scene information on the mobile phone.The full text of the study is as follows:(1)Image recognition algorithm.First of all,It describes the process of image recognition and some classic recognition algorithms.Next,it is determined that the image recognition algorithm is applied to the mobile through the experimental synthesis of the running time and the recognition effects.In this way,the performance parameter of the experimental comparison algorithm is used to ensure real-time and effective recognition in combination with that background of the mobile application of the system.(2)Proposing to use mobile end GPS data and direction data for auxiliary identification.According to the location information that scene area can be divided into several sub areas,this paper will respectively set up children regional characteristics library with a small number of samples.During the recognition,the users' area positions can be located by the GPS and direction data which are provided by the mobile end sensor.During the same time,the corresponding subarea feature library is loaded so as to narrow down the query range.The results of the experiment show that it has improved the speed and accuracy of image recognition by using mobile data assistant recognition.(3)Developing an information query system APP based on imagerecognition.It is divide into three main modules-mobile phone client end,background server end and image recognition module.The client end can finish the collection of data,image pre-processing and scene information presentation;The server side can receive,inquire and push the information;And the Image recognition module will complete the recognition of uploaded images.Finally,the feasibility of the system is verified by the main scenarios of our school.