IOT BASED WASTE MANAGEMENT IN SMART CITY USING IR.

Authors

  • Pranjal Agarwal Tech (IV) Year Student , Department of Computer Science and Engineering SRM Institute of Science and Technology, Chennai, India
  • Pankaj Kumar Tech (IV) Year Student , Department of Computer Science and Engineering SRM Institute of Science and Technology, Chennai, India
  • Uday Singh B.Tech (IV) Year Student , Department of Computer Science and Engineering SRM Institute of Science and Technology, Chennai, India
  • Atul Mishra B.Tech (IV) Year Student , Department of Computer Science and Engineering SRM Institute of Science and Technology, Chennai, India
  • S Aarthi Assistant Professor, Department of Computer Science and Technology SRM Institute of Science and Technology, Chennai, India

DOI:

https://doi.org/10.7324/IJERAT.2018.3246

Keywords:

Automated Teller Machine, Face Recognition, Security, Performance.

Abstract

The Internet of Things (IoT), as expected infrastructure for an envisioned concept of Smart City, brings new possibilities for the city management. IoT vision introduces promising and economical solutions for massive data collection and its analysis which can be applied in many domains and so make them operate more efficiently. In this paper, we are discussing one of the most challenging issues - municipal waste-collection within the Smart City. To optimize the logistical approach of waste collection, we use own algorithm. The solution provides imports of better efficient garbage-truck routes. As an output, we provide a set of simulations focused on the mentioned area. If the dustbin fills, we get some alert via the Buzzer also send the SMS to the authorized person at a particular time they didn’t response we will intimate to the higher authorized persons.  

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How to Cite

Agarwal, P. ., Kumar, P. ., Singh, U. ., Mishra, A. ., & Aarthi, S. . (2018). IOT BASED WASTE MANAGEMENT IN SMART CITY USING IR. International Journal of Engineering Research and Advanced Technology (ijerat) (E-ISSN 2454-6135) DOI: 10.31695/IJERAT, 4(4), 21–26. https://doi.org/10.7324/IJERAT.2018.3246