Robust and Automatic Waste Segregator
DOI:
https://doi.org/10.26438/ijcse/v8i4.149152Keywords:
Sensor technology, waste segregation system, metal waste segregation, automated waste segregatio, residual waste, recyclable waste, wet waste, dry wast, moisture sensor, ultrasonic senso, inductive proximity sensor etAbstract
In past years, the human population living in urban areas has been increasing. This has created large quantities of waste. Since civic authorities tend to overlook this major concern, the untreated waste causes pollution in our environment and creates unhygienic conditions for the citizens. If this waste is treated properly then it becomes useful for us. Proper handling of this situation by our method, can lead to cleaner surroundings for the citizens, efficient treatment of the waste and it can also be financially profitable for the authorities. Our method proposes segregation of waste into various categories based on its property. We accomplish this by using a system made of multiple sensors embedded with a micro-controller which can classify various types of materials. The system segregates waste into dry, wet, metallic and non metallic categories. This leads to better processing of each category separately, which is a more efficient method. The segregated waste can be reused, recycled or used in landfills depending on its category. Also our system monitors the fill level of waste in the dustbins so that it can be collected on time by the concerned authorities. This method leads to better utilisation of waste.
References
[1] Nurul Nazihah Ahamad, Sarah Yasmin Mohamad, Nur Shahida Midi, Siti Hajar Yusoff, Faridah Abd Rahman “Discrimination of Residual and Recyclable Household Waste for Automatic Waste Separation System” 2018 7th International Conference on Computer and Communication Engineering (ICCCE)
[2] Rajkamal R, Anitha V, Gomathi Nayaki P, Ramya K, Kayalvizhi E, “A Novel Approach For Waste Segregation At Source Level For Effective Generation Of Electricity – GREENBIN,” International Conference on Science, Engineering and Management 2014
[3] Shamin N, Raghavendra R-“Smart Garbage Segregation & Management System Using Internet of Things(IoT) & Machine Learning(ML) 1st International Conference on Innovations in Information and Communication Technology (ICIICT),2019
[4] Marloun Sejera, Joesph Bryan Ibarra, Anrol Sarah Canare, Lyra Escano, Dianne Claudinne , Mapanoo, John Phillip Suaviso, “Standalone Frequency Based Automated Trash Bin and Segregator of Plastic Bottles and Tin Cans,” 2016 IEEE Region 10 Conference(TENCON).
[5] Balaji Masanamuthu, Chinnathurai, Ramakrishna Sivakumar, Sushuruth Sadagopan, James M. Conrad, “Design and Implementation of a Semi-Autonomous Waste Segregation Robert,” 2016 IEEE.
[6] Shinjini Ray, Sayan Tapadar, Suhrid Krishna Chatterjee, Robin Karlose, Sudipta Saha, Himadri Nath Saha. "Optimizing routine collection efficiency in IoT based garbage collection monitoring systems", 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), 2018
[7] R. Zade, N. Khadgi, M. Kasbe, T. Mujawar, “Online Garbage Monitoring System Using Arduino and LabVIEW,” International Journal of Scientific Research in Network Security and Communication, Vol.6, Issue.6, pp.5-9, 2018.
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