Affiliations: [a] School of Information Science and Engineering, University of Jinan, Jinan, China
| [b] Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan, China
Correspondence:
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Corresponding author. Kun Ma, Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan 250022, China. E-mail: ise_mak@ujn.edu.cn.
Abstract: Management of garbage classification is a general term for a series of activities to sort, store and transport garbage into public resources according to certain regulations or standards. Current garbage classification systems have several drawbacks, such as inability to identify multiple garbage categories, and high dependence on the surrounding environment. To address these issues, this paper has proposed the Real Time Multi-Modal Garbage classification System (abbreviated as RMGCS). It consists of two sub systems: an indoor garbage classification applet (abbreviated as IGCA) and an outdoor garbage classification system (abbreviated as OGCS). IGCA provides users with three methods of garbage classification, and OGCS provides users with outdoor real-time multi-target garbage classification and can dynamically update the recognition model. RMGCS achieves real-time, accurate, and multimodal classification. Finally, the experiments with RMGCS show that our approaches are effective and efficient.
Keywords: Garbage classification, multi-modality, picture recognition, real-time video recognition
