Smart Waste Segregation System with Deep Learning Algorithm for Plastic Bottle Detection
Latha thomas 1, Visnupriya P S2 , Aiswarya pj3, Athira Sajeevan4, Nimmy joy5
Assistant Professor 1 ,Assistant Professor 2 (Universal Engineering College, Vallivattom)
Btech Student2, Btech Student3, Btech Student4, Btech Student5 Universal Engineering College Vallivattom, Konathukunnu, Thrissur District- 680 123, Kerala, India.
lathatms@gmail.com1 (corresponding author), vishnupriyaps18@gmail.com
Abstract - With the continuous growth in urbanization and industrialization, there is a rapid increase in the quantity of waste being produced every day. A huge amount of waste, that is generated and disposed by means which have an adverse effect on the environment. The common method of disposal of waste is by unplanned and uncontrolled open dumping at the landfill sites. We are dumping the waste generated every day in landfills all over. These causes – injurious to human health, plant and animal lives, etc... If we adopt a proper segregation procedure for the generated waste, it is possible to utilize and separate the waste effectively. This system helps the smart world by giving an advanced method for segregation of waste. Lately there have been a lot of difficulties to dispose the waste in right manner. So the Smart Waste Segregator system gives a new light to this growing hazardous affair.The proposed segregator system segregates the waste into three types, metallic, wet and dry, and in addition, separating dry waste further into paper and plastic. Here, Arduino Uno board is used as the main controller and various sensors are used to detect each type of waste, which is segregated and thrown into the respective bins. The system detect the human presence to open and close the bin lid using sensor and also provide a temporary closing of bin lid at the critical level filling. Smart Waste Segregation system also monitor the waste level and gives alert information to the authorities about the condition at the critical level by using IoT.
Keywords—Internet of things(IOT) ,Smart waste segregation(SWS)
