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Smart city article details

Title	Garbage Collecting Robot Using Yolov3 Deep Learning Model
ID_Doc	27709
Authors	Assis A.; Biju A.R.; Alisha N.A.; Dhanadas A.; Kurian N.
Year	2021
Published	10th International Conference on Advances in Computing and Communications, ICACC 2021
DOI	http://dx.doi.org/10.1109/ICACC-202152719.2021.9708298
Abstract	Due to rapid rise in population, there is an increase in the waste scattered and littered on the roads. Waste management has become an issue of concern, now more than ever around the world. There are instances where waste is deliberately left on the roads due to the lack of workers or means available. The hazardous nature of the work and the health risks it can pose for people is also another concern. With the rise of smart cities, we recognized the need to develop an autonomous garbage collecting robot that monitors, identifies and collects garbage from the environment accurately. For this purpose, we also conducted a comparative study of different object detection algorithms and evaluated them based on various parameters. © 2021 IEEE.
Author Keywords	Autodesk Fusion 360; Autodesk TinkerCAD; CNN; Garbage collecting robot; object detection algorithm; Transfer Learning; YOLOv3

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