Smart wardrobe system based on Android platform
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, 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.
2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)