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A Smart Garbage System for Smart Cities Using Digital Image Processing

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Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 514)


Garbage management is one of the most obvious challenges that humanity will face in the near future. The primary need is to produce a dust-free atmosphere. It is difficult to have a clean waste system in large cities. An automated system is put up beside the trashcan to keep track of the individual’s rubbish disposal habits. The majority of people, out of laziness, throw the dust out of the bin. The camera positioned over the trashcan records whether or not dust is deposited in the bin. When the dust is removed from the bin, the camera catches the defaulter’s face. The defaulter’s facial data is compared to an existing data collection and identified. The kit’s warning system will issue a warning signal to the appropriate user. We describe a smart waste management system that requires the user to handle dust with caution. The user database is hosted in the cloud and may be viewed from anywhere in the city.


  • Garbage management
  • Face recognition
  • Deep stack model
  • Automated warning system
  • Raspberry Pi camera

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  • DOI: 10.1007/978-3-031-12413-6_60
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Correspondence to P. Sivaranjani .

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Sivaranjani, P., Gowri, P., Murugan, B.M.R., Suresh, E., Janarthanan, A. (2022). A Smart Garbage System for Smart Cities Using Digital Image Processing. In: Chen, J.IZ., Tavares, J.M.R.S., Shi, F. (eds) Third International Conference on Image Processing and Capsule Networks. ICIPCN 2022. Lecture Notes in Networks and Systems, vol 514. Springer, Cham.

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