Real-Time Carpooling System for Android Platform

Abstract— The recognition and color processing of video complex object is now a research focus in contemporary computer science, the technology is widely used in various areas of society. In this article, we individually designed the system framework of Android-based client and OpenStack-based SSH server, the system has achieved functions include the management of personal clothes, dress collocation, intelligent recommendation based on user’s stature, user’s similarity, < Final Year Projects > dress pattern, real-time weather and other multi-dimensional factors and so forth. We established database for data storage and backup in both server-side and client-side and designed a complete data synchronization mechanism, so the real-time data can be synchronized to the local as user switches the device and account. Some frequently used data in the mobile terminal has a local cache in different ways and as a result the user can still use all the basic functions offline. The works with high complexity like image computation are all processed at server-side mounted on a cloud computing platform. In this system, basic data including garments and matches are all users’ information assets, and a large-scale small data will take shape when the number of users reaches a certain level. The system protects their privacy.