An Automated Trash Monitoring Systemfor Waste Management Using IoT– (I-Bin)
Krithika. S1, Kaja Maideen J2, Madan T K C3
1Krithika.S, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2Kaja Maideen J, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
3Madan T K C, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 28 September 2019 | Revised Manuscript received on 10 November 2019 | Manuscript Published on 22 November 2019 | PP: 1134-1137 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F11880986S319/19©BEIESP | DOI: 10.35940/ijeat.F1188.0986S319
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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: The growth of Urbanization has increased vigorously in recent years, so is the increase in waste production. Management if waste is the critical issue to be considered at this high time. This idea of i-Bin is a way to achieve this good cause. Most of the times the garbage bins or dustbins placed at public places in cities are overflowing, creating unhygienic conditions for people. Also it affects cleanliness of that place spreading a bad odour. The present system has separate section of workers allotted for monitoring and cleaning the trashes at periodic intervals. But this is not properly maintaining the sanitation and management of wastes. The concept of connecting all the trash bins to a common network will be helpful in providing a control and overview of trash bins in the city. This i-bin aims to solve the problem of trash overflow and helping the workers in cleaning the necessary bins. In this paper we have implemented the idea of automation in waste management all over the city using intelligent bin(i-Bin). i-Bin is using the new technologies like Raspberry Pi, IR distance/ultrasonic sensor, actuators and weight sensors along with an application to improvisethe mechanisms for waste collection and waste processing.
Keywords: Monitoring IoT Management Automated Production.
Scope of the Article: IoT