Templated Web AR Service Generation And Management Platform

In recent years,with the continuous improvement of network bandwidth and intelligent terminal computing power,the development of augmented reality(AR)has attracted great attention from all walks of life.As a AR solution based on Web,Web AR has the advantages of natural lightweight,universality and cross-platform.However,the development of Web AR service is a difficult problem.This process not only requires developers to be familiar with algorithmic knowledge such as computer vision,web-side model rendering,human-computer interaction,etc.,but also needs to master engineering skills such as environment construction and server deployment,and the development efficiency is low.Therefore,this paper proposes a platform for ordinary users to customize Web AR services.The research work of the thesis can be divided into three parts:1)This paper proposes a template-based Web AR service customization method.The method simplifies and designs the logically complex Web AR service through the overall information of the Web AR service,scan identification information,Web AR animation model information,Personalized Web AR services can be generated by visually configuring the resources related to the active mode information.2)A management method for Web AR services is proposed,which allows users to adjust resource allocation and detailed information for related Web AR activities.At the same time,report data of Web AR activities can be obtained,which can provide multi-dimensional operational data analysis support for Web AR activities.3)Design and implement a template-based Web AR service generation and management platform.The platform provides a visual operation interface for Web AR service customization and Web AR service management and control.In order to provide services to users of different roles,the platform also implements a multi-role rights management system.Finally,functional tests and related performance tests were carried out on each function of the platform,including self-test of the development environment and real data of the production environment.The test results show that the platform designed by the paper can meet the expected requirements.