With economic developments the globally generated wastes are increasing. The current global Municipal solid waste generation levels are approximately 1.3 billion tonnes per year and are expected to increase to approximately 2.2 billion tonnes per year by 2025.
Segregation of waste helps increase the recyclable materials and control unwanted degradation, which might result in the emission of harmful gasses. In India the segregation of domestic waste is done at the municipal factories, where huge machinery is used for separating recyclable materials. Implementation of separate bins for the collection of waste materials is done, but it does not yield its purpose due to a lack of awareness, ignorance, and negligence.
This project deals with the problem of waste management in smart cities, where the garbage collection system is not optimized. This project enables the organizations to meet their needs of smart garbage management system. This system allows the user to know the fill level of each garbage bin in a locality or city at all times, to give a cost-effective and time-saving route to the truck drivers.
An efficient method to dispose the waste has been designed in our project, " automatic waste segregator and monitoring system ". This method proposes an automatic waste segregator (AWS) which is a cheap, easy to use solution for a segregation system at households so that the wastes can be sent directly for processing. Automatic waste segregator is designed to sort the waste into three main categories namely; metallic, organic and plastic, thereby making the waste management more effective.
Ultrasonic sensors are added for monitoring waste collection process. The sensors would be placed in all the garbage bins. When the garbage reaches the level of the sensor, then the indication will be given to a microcontroller.
The microcontroller will give indication to the driver of garbage collection truck by sending SMS using GSM technology.
W. A. L. Gayanthika was born in the city of Avissawella, Sri Lanka, on September 15, 1992.
She obtained her special degree of bachelor of industrial information technology from University of Uva Wellassa University, Sri Lanka, 2017. She is currently working as a demonstrator attached to the Department of Computer Science & Technology of Uva Wellassa University of Sri Lanka.
She published her first research abstract on smart dustbin with the web-based point reward system for waste management in International Research Symposium of Uva Wellassa University of Sri Lanka
" />With economic developments the globally generated wastes are increasing. The current global Municipal solid waste generation levels are approximately 1.3 billion tonnes per year and are expected to increase to approximately 2.2 billion tonnes per year by 2025.
Segregation of waste helps increase the recyclable materials and control unwanted degradation, which might result in the emission of harmful gasses. In India the segregation of domestic waste is done at the municipal factories, where huge machinery is used for separating recyclable materials. Implementation of separate bins for the collection of waste materials is done, but it does not yield its purpose due to a lack of awareness, ignorance, and negligence.
This project deals with the problem of waste management in smart cities, where the garbage collection system is not optimized. This project enables the organizations to meet their needs of smart garbage management system. This system allows the user to know the fill level of each garbage bin in a locality or city at all times, to give a cost-effective and time-saving route to the truck drivers.
An efficient method to dispose the waste has been designed in our project, " automatic waste segregator and monitoring system ". This method proposes an automatic waste segregator (AWS) which is a cheap, easy to use solution for a segregation system at households so that the wastes can be sent directly for processing. Automatic waste segregator is designed to sort the waste into three main categories namely; metallic, organic and plastic, thereby making the waste management more effective.
Ultrasonic sensors are added for monitoring waste collection process. The sensors would be placed in all the garbage bins. When the garbage reaches the level of the sensor, then the indication will be given to a microcontroller.
The microcontroller will give indication to the driver of garbage collection truck by sending SMS using GSM technology.
W. A. L. Gayanthika was born in the city of Avissawella, Sri Lanka, on September 15, 1992.
She obtained her special degree of bachelor of industrial information technology from University of Uva Wellassa University, Sri Lanka, 2017. She is currently working as a demonstrator attached to the Department of Computer Science & Technology of Uva Wellassa University of Sri Lanka.
She published her first research abstract on smart dustbin with the web-based point reward system for waste management in International Research Symposium of Uva Wellassa University of Sri Lanka
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