Intelligent Garbage Monitoring and Classifying Machine

Project Title

Intelligent Garbage Monitoring and Classifying Machine

Project Area of Specialization Artificial IntelligenceProject Summary

We proposed an idea to encourage people to throw the trash into bins to keep our environment clean and to implement the latest technologies. So we came up with this project. Initially, the bin takes trash from a person in any form, i.e, separated already or in a plastic bag, etc. If in a plastic bag, it tears the plastic bag and slowly moves all the trash further onto the conveyor belt. The trash is then scanned with help of IoT Sensors and cameras and then is sorted and moved further to separate paths to be stored in respective containers. We're currently sorting trash into two major types that are Recyclable and Non-recyclable. The bin also calculates points based on trash and trash quantity and awards these points to the person. The person can get these points by interacting with the touch panel that is installed on the bin. The person will enter their unique Id into the panel and the points will be added to their digital wallet. The user can also access our mobile app, which can be called a digital wallet. In this mobile application, other than points information there are several features too like information regards trash types or how can they recycle trash. Also, maps through which they can view how many points trash bins are installed so that they can dispose of the trash in the nearest bin. The bin is also indicated when it's full. There is also a web-based application for authorities so that they can keep track of bins which ones are red (full) and which are yellow (going to be filled soon) and which are green. There are maps attached with the web app which have the same function as it serves in the mob app.

Project Objectives

It is vital to maintain good health and hygiene. Good health and hygiene are essential assets. For this, We proposed the idea of an IoT-based Intelligent Garbage Monitoring and classification system using deep learning that will encourage people to take care of cleanliness by throwing the trash into the bins. This idea is presently limited to a small scale that can be executed on a large area/scale. Our main objective is a neat and clean environment, and to motivate people to play a vital role in it. For people's motivation, we have planned to reward them in terms of points. The bin will calculate points on the basis of trash. The person will avail these points by interacting with the touch panel installed on the bins. They will enter a unique Id into the panel, and points will be added to their wallet. They can also create an Id on runtime. The user can also be facilitated through access to our mobile application. We are presently classifying trash into two major types that are Recyclable and Non-recyclable.
Our other project objective is to save up the fuel and time for municipal authorities. The bin will have an indication system for that, i.e. it'll turn yellow if trash crosses a specific limit and it'll turn red when it's going to be filled. these color indications will be notified on the map, the authorities can view in which area how many bins are red/yellow and green and can work accordingly.

Project Implementation Method

The Bin will be installed at different points, users can also view where the bins are installed through the map integrated into the mob app so that they can dispose of trash in the nearest bin. The user can throw trash separately as well as inside some sort of bag or anything else. Thus, when the garbage comes inside the bin, the bag will be torn apart and all of the trash will be laid plain on the conveyer belt. The trash will be scanned through IoT sensors and it'll be processed and classified into two types, i.e recyclable or non-recyclable, and stored in their respective containers. In meantime, Bin will also calculate and reward points to users according to trash's size/weight. Users can claim these points by entering their Id into the touch panel installed on the bin. Points will be added to their digital wallet, user can view them by logging in to our mob app can also be called a digital wallet. once user contains enough points, they can use them for gaining discounts, etc. Users can also have information regards trash through mobile applications, also regards how to recycle trash, etc. The bin also has a system that indicates to authorities whether the bin is full or above a specific level. This system is integrated with maps, The bins will be green initially but as soon it crosses a specific level they'll turn yellow and red when it's to be filled soon. This alarming system will help authorities to save time and energy/fuel. The authorities can access this system with our web app. 

Benefits of the Project

The Smart bins are very effective. The technology enables us to remotely monitor how full individual litter bins are and also classifies them into recyclable and non-recyclable trash. As trash fill-up, the authorities will be notified, allowing them to pick it up which will reduce the cost of fuel and energy. Additionally, emptying bins before they are excessively filled is more efficient than allowing them to overflow, which can be a community health hazard. We are planning to hit unhygienic rubbish overflow by installing more bins in the future. With the help of the smart bins, we can improve efficiency by using the resources available to us in a more focused and targeted way.
It saves time and money by using our waste collection bins and systems equipped with fill level sensors and a trash classifier. As transport vehicles go only to the filled containers or bins. It reduces infrastructure, operating, and maintenance costs. The smart bin technology is a series of wireless ultrasonic sensors that detect fill levels and recyclable also non-recyclable trash. The IoT devices communicate waste data to sanitation department authorities in real-time. The adoption of this smart bin will promote a cleaner and safer environment. Ultimately, this technology will utilize garbage trucks where they are needed most and reduce wasted trips. Thus, it will reduce pollution and waste removal costs, and benefits all the stakeholders of this project in helping to create a more Eco-friendly solution.

Technical Details of Final Deliverable

The bin consists of a container, on which a touch panel will be installed for users to interact and claim their rewards. The bin also has an opening in which trash will be disposed of. Inside that opening, there is a conveyer belt, on starting there is a sharp blade that will be used to tear the plastic bag and a metal hand will be placed there to lay all the trash plane on the conveyer belt. IoT sensors/cameras are placed above that conveyer belt to scan the trash and process it and classify it accordingly. When classified, the trash will be stored in respective containers, i.e there'll be two containers recyclable and non-recyclable. Trash will be classified into these two types initially. There are also sensors placed inside these containers which will be monitoring the garbage level present inside them and that will be directly reported to the map with which bins are integrated to. The process will be done with help of a microprocessor, in which AI algorithms will run and will classify trash accordingly and the microprocessor will also calculate points according to the trash's size or weight and award them to the user. The user can create id at run time or can enter their id into the touch panel and claim the points into their wallet. they can use them to get discounts etc. Users can also view maps through their mobile application as well as they can also view their points details. Similarly, authorities can also view these maps and can save their resources.

Final Deliverable of the Project HW/SW integrated systemCore Industry OthersOther IndustriesCore Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT)Sustainable Development Goals Sustainable Cities and Communities, Responsible Consumption and ProductionRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	79200
Containers	Equipment	2	5000	10000
Touch Pannel	Equipment	1	1000	1000
IoT cameras	Equipment	2	9000	18000
Pi4	Equipment	2	14000	28000
Ultrasonic Sensors	Equipment	4	750	3000
Conveyer Belt	Equipment	1	5000	5000
SD card	Equipment	2	500	1000
Motor	Miscellaneous	1	10000	10000
Metal hands	Equipment	4	400	1600
Moving Machines	Equipment	4	400	1600