M. S. Vivekanandan1, T. Jesudas2,*
Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1639-1652, 2023, DOI:10.32604/iasc.2023.032301
Abstract In an urban city, the daily challenges of managing cleanliness are the
primary aspect of routine life, which requires a large number of resources, the
manual process of labour, and budget. Street cleaning techniques include street
sweepers going away to different metropolitan areas, manually verifying if the
street required cleaning taking action. This research presents novel street garbage
recognizing robotic navigation techniques by detecting the city’s street-level
images and multi-level segmentation. For the large volume of the process, the
deep learning-based methods can be better to achieve a high level of classification, object detection, and accuracy than other learning algorithms.… More >
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