Abstract
Abstract: During the process of smart city construction, city managers always spend a lot of energy and money for cleaning street garbage due to the random appearances of street garbage. Consequently, visual street cleanliness assessmentis particularly important. However, the existing assessment approaches have some clear disadvantages, such as the collection of street garbage information is not automated and street cleanliness assessment is not real-time. To address these disadvantages, this paper proposes an urban street cleanliness assessment approach using mobileedge computing and deep leaning. First the sensor are installed inside the dustbin and obtain up to the particular threshold . then Mobile edge service is used to store and extract street image information temporarily.
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