Spruce-A Intelligent Surveillance Device for Monitoring of Dustbins using Image Processing and Raspberry PI
Navjot Rathour1, Anita Gehlot2, Rajesh Singh3

1Navjot Rathour, Lovely Professional University, Phagwara (Punjab), India.
2Anita Gehlot, Lovely Professional University, Phagwara (Punjab), India.
3Rajesh Singh, Lovely Professional University, Phagwara (Punjab), India.
Manuscript received on 22 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1570-1574 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B11060882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1106.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In the current scenario, most recurrently we find that the Dust bins kept at various places mainly at public places in the cities are swarming because of elevation in garbage every day. Mainly it creates filthy and unhealthy conditions for humanity which leads to spreading of lethal diseases. In addition to that, anyone can hide eruptive material under this sort of mess and that can lead to loss of lives. To avoid these wretched situations a Waste Monitoring System using Internet of Things which is named as SPRUCE is proposed. This system is not designed for single dustbin rather multiple dustbins that are kept at different location in cities or campus; these garbage bins are designed with cheap device that helps in monitoring the level of trash inside the trash bins. In addition to that, SPRUCE can click the image and send it on server. This feature can help the monitoring authorities to identify as well locate them for further action. Moreover, these clicked images can help to identify the updated status of bins even by sitting at a dedicated place only and quickly a corrective action can be made to clean the dustbins.
Keywords: Image Processing Device Monitoring Internet.
Scope of the Article: Signal and Image Processing