Abstract
Everyday a huge amount of solid waste generates. It generates from various sources such as from industries, markets, house complexes, etc. This waste also varies in state and shape. As the human involvement is rising in nature, we have seen a rapid growth in solid waste in the world. Due to rise in solid waste, various problems have arisen in society.To reduce those problems and build a well-defined solid waste management, we have developed a “GEO-LOCATION BASED ADVANCE WASTE COLLECTION” system. This system focuses on optimization of entire solid waste management process. For a specific region or city, garbage bins are set to different locations in that city or respective region. An ultra-sonic sensor is attached to every garbage bin. As soon as the garbage gets overflow from bin, this sensor sends a signal to a Wi-Fi module which then send data to web application. Current status of garbage bin is monitored by management personnel. Selection of proper vehicle to collect waste from a site and to dump it on a dumping site is one of the task of the management personnel. The respective vehicle would lift the garbage and dump it on a dumping site through an optimized way. Management personnel can analyze vehicle trip reports for further evaluation. An application has developed for citizens to initiate a complaint regarding waste. They can further track the status of their complaints. This system is economically beneficial to the authorities because of its high efficiency and optimization.
Keywords
Flutter, Geo-location, Real time analysis,Solid waste management, Ultrasonic sensor, Wi-Fi module.
Citations
IRE Journals:
Chogle Saif Ali , Khalfe Sajjad , Ansari Hoida , Lambe Maaz , Khan Mubashir
"Geolocation Based Advance Waste Collection" Iconic Research And Engineering Journals Volume 4 Issue 11 2021 Page 82-87
IEEE:
Chogle Saif Ali , Khalfe Sajjad , Ansari Hoida , Lambe Maaz , Khan Mubashir
"Geolocation Based Advance Waste Collection" Iconic Research And Engineering Journals, 4(11)
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