Smart Garbage Collection system

Project Title

Smart Garbage Collection system

Project Area of Specialization Internet of ThingsProject Summary

There has been a great increase in solid wastes in the last few years. Waste management is a challenging issue of atmosphere in the world. The existing systems of garbage collection are manual, as a result garbage is not assembling at time and it can cause many harmful diseases by generating toxic gases as well as polluting the environment. Hence, there is a need to develop an efficient system which can eliminate this problem or at least reduce it to the least level. In this era, every government across the world is planning to build smart cities or trying  to transform existing cities into the smart cities. Collection of solid waste is a critical point for environment and its impact on society and people should be considered seriously in the smart cities. Internet of Things (IoT) technologies can efficiently handle such services in the smart cities. So, by  proposing an IoT, ML based solution is one of the most suitable option in order to tackle this worthy issue effectively .In this proposed system, garbage bins equipped with ultrasonic sensors send this level of waste to Arduino. It then sends this value to server through NodeMCU. The system generates a notification and sends an alert message to the worker of municipal corporation when a trash bin filled up. Furthermore, it is expected to contribute to improve the efficiency of the Smart Garbage Collection System.

Project Objectives

The main objective is to propose a fast, reliable and efficient IoT-ML based garbage collection mechanism in a smart city.

1. Automate waste collection system
2. Generate alerts
3. Level sensing system
4. Specified location of waste bin
5. Database of garbage

Project Implementation Method

Existing system of garbage collection has some limitations like fuel consumption as worker has to visit many times to check out whether or not the bins are full. And if they missed their route, the garbage makes bad odor which is unhealthy for people causing many diseases. So, the proposed model talks about how to make use of the recent advancements in technology to make our place clean and tidy. The implementation starts by detecting garbage level from dustbins. There are three levels those are set to check the garbage status. The first level is green, which is set when the garbage is slighter in the bin. The next level is yellow, this level indicates that the garbage exceeded the half of the bin. The last level is determined by red which shows that the bin is full with garbage. First of all, the level of garbage in each bin is determined by using multiple sensors. This data then passed to the Arduino. Arduino then sends this value to server through NodeMCU. The system generates a notification and sends an alert message to the worker’s app of municipal corporation when a trash bin filled up.  Further, the Garbage data collected will be fed to a high processing system which will apply Neural networks algorithm and other machine learning algorithms. The machine learning algorithm are used to check the accuracy of alert generation mechanism.

Benefits of the Project

1. The first and foremost benefit of SGCS is that this will help to keep our environment neat and clean.
2. It will stop overflowing of dustbins along roadsides.
3. Less amount of fuel consumed = Save a large amount of money.
4. It also reduces manpower requirements to handle the garbage collection.
5. Applying smart garbage management system to the city optimizes resources. 
6. Machine learning algorithm are used to ensure the environment safety.

Technical Details of Final Deliverable

The above image shows the technical details and work flow of SGCS. It explain  the use of all the equipment’s in the development of whole product. There are several smart bins, the status of all bins is send to the server through Wi-Fi. The smart bins are connected to the various sensors. The status of all bins is send to the server through Wi-fi. First of all, the level of garbage in each bin is determined by using the ultra-sonic sensors. This data then passed to the Arduino. It then sends data to server using NodeMCU. Then it will check if or not the data reached the threshold level. There are three levels those are set to check the garbage status. The first level is green, which is set when the garbage is slighter in the bin. The next level is yellow. This level indicates that the garbage exceeded the half of the bin. The last level is determined by red which shows that the bin is full with garbage. If the garbage level  is full in dustbin and alert message is send to worker’s app in order to collect garbage

Final Deliverable of the Project HW/SW integrated systemType of Industry IT Technologies Internet of Things (IoT)Sustainable Development Goals Good Health and Well-Being for People, Clean Water and SanitationRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	78400
Ultra Sonic Sensors	Equipment	4	350	1400
Arduino	Equipment	4	1000	4000
Node Mcu	Equipment	4	700	2800
Weight Sensor	Equipment	4	800	3200
Solar Power Supplies along with Circuits and Cables	Equipment	4	4000	16000
12 V Adapters	Equipment	4	500	2000
GPU	Equipment	1	35000	35000
PCB Fabrication	Equipment	4	1000	4000
Cables wires, Jackets	Miscellaneous	1	10000	10000