Smart wardrobe system based on Android platform

• Published in: 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA) pp. 279 - 285
• Main Authors: Hao Peifeng, Cui Yuzhe, Song Jingping, Hu Zhaomu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2016
• Subjects: Android; Androids; clothing optimization; cloud compute; Fitting; Humanoid robots; Mobile communication; Privacy; small data; Switches; system design
• DOI: 10.1109/ICCCBDA.2016.7529571

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.