Skip to main content
SpringerLink
Log in

Intelligent Trashcan Applications Relying on Internet of Things Technologies

  • Conference paper
  • First Online:
IoT as a Service (IoTaaS 2017)

Included in the following conference series:

  • 1135 Accesses

Abstract

Trashcans are the basic unit in the garbage-collecting procedure. This paper proposes an intelligent trashcan with flexible features, which is associated with a smart device application. The trashcan is able to detect RFID tags to decide whether to open its lid or not. The trashcan is also capable of moving around when it receives instructions from the remote application, and it has the ability to move according to a planned path. Different settings of the smart trashcan can be configured via the remote application. The proposed system has been implemented, and it is shown that the proposal is applicable.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Yusof, N., Jidin, A., Rahim, M.: Smart garbage monitoring system for waste management. In: MATEC Web of Conferences, pp. 1–5 (2017)

    Google Scholar 

  2. Parkash, Prabu, V.: IoT based waste management for smart city. Int. J. Innov. Res. Comput. Commun. Eng. 4(2), 1267–1274 (2016)

    Google Scholar 

  3. Borozdukhin, A., Dolinina, O., Pechenkin, V.: Approach to the garbage collection in the smart clean city project. In: IEEE International Colloquium on Information Science and Technology, pp. 918–922 (2016)

    Google Scholar 

  4. Kumar, N., Vuayalakshmi, B., Prarthana, R., Shankar, A.: IOT based smart garbage alert system using Arduino UNO. In: IEEE Region 10 Conference, pp. 1028–1034 (2016)

    Google Scholar 

  5. Arebey, M., Hannan, M., Basri, H., Begum, R., Abdullah, H.: Solid waste monitoring system integration based on RFID, GPS and Camera. In: International Conference on Intelligent and Advanced Systems, pp. 1–5 (2010)

    Google Scholar 

  6. Anagnostopoulos, T., et al.: Challenges and opportunities of waste management in IoT-enabled smart cities: a survey. IEEE Trans. Sustain. Comput. 99, 1–16 (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Industrial Ph.D. Program of Internet of Things, Feng Chia University, Taichung, Taiwan

    Ye Chin Kiong & Chow-Yen-Desmond Sim

  2. Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan

    Ang Sinn & Lien-Wu Chen

  3. Department of Electronic Engineering, National United University, Miaoli, Taiwan

    Ming-Fong Tsai

Authors
  1. Ye Chin Kiong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chow-Yen-Desmond Sim
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ang Sinn
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ming-Fong Tsai
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Lien-Wu Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ming-Fong Tsai .

Editor information

Editors and Affiliations

  1. National Chiao Tung University, Hsinchu, Taiwan, Taiwan

    Yi-Bing Lin

  2. Department of Computer Science and Information, National Changhua University of Education, Changhua, Taiwan

    Der-Jiunn Deng

  3. Seoul, Korea (Republic of)

    Ilsun You

  4. Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu, Taiwan

    Chun-Cheng Lin

Rights and permissions

Reprints and permissions

Copyright information

© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kiong, Y.C., Sim, CYD., Sinn, A., Tsai, MF., Chen, LW. (2018). Intelligent Trashcan Applications Relying on Internet of Things Technologies. In: Lin, YB., Deng, DJ., You, I., Lin, CC. (eds) IoT as a Service. IoTaaS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-030-00410-1_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-00410-1_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00409-5

  • Online ISBN: 978-3-030-00410-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation