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Smart Garbage Segregation & Management System Using Internet of Things(IoT) & Machine Learning(ML)


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Abstract


The expansion in populace has prompted gigantic increment in the contamination also. It may peeve numerous relentless diseases for the people. For eliminating or alleviating the garbages and to keep up the cleanness, it requires a smart garbage managing architecture. But there is another severe problem, that to segregate the wastes that has been collected. This paper proposes IoT stationed smart waste segregation and management device which detects the wastes in the dustbins with the aid of using Sensor devices and as soon as it is detected the waste substances in it will be segregated with the help of sensors and right away information is transferred to cloud database via IoT. Microcontroller is utilized as an association between the sensors and IoT module. Ultra-sonic sensor is utilized to distinguish the nearness of the waste material. The moisture sensor is used to analyze and report the moisture content in the waste, and if there is moisture content available then the waste cannot be put in the dustbin. Metal sensor is used to separate the metal items and is separated to a section. Image processing algorithm is used to identify the plastics and degradable items and is separated to another separate sections. The dustbin data are uploaded to the cloud using IoT in real time. This helps in clearing the wastage from dustbin in an efficient and smartest way

KeyWords
IoT device Sensor technology management system, waste management plastic segregation waste management, waste segregation system waste management system metal waste segregation IoT based system image processing machine learning



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