The suggested method analyzes and levels up the major contribution in building a sustainable solution for global warming, air, water and land pollution mortality, and energy security. Trash cans are containers used all around the world to collect domestic garbage. We discard a variety of waste items in our everyday lives, sewage garbage, residential waste, and so on. The cleanliness in the public areas has been a variety of demand notably following the covid pandemic. Moreover, public garbage cans are not checked or kept adequately. The proposed system is an innovative waste management solution for Smart Cities. IoT components like sensors, detectors, and actuators are embedded into the physical subsystem. The system is integrated by utilizing Mini Display, smart barcode scanning camera and BIN OS with the assistance of Arduino and raspberry pi to iterate with the internet database. The web application operates as a cloud interface facilitating communication between the smartbin network and the client- user network. Reward points operate as the motivational factor for the users and the exchange rate and they're standardized depending on the agreement with the client firms. The product appears to be an efficient option for huge firms manufacturing food and drinks with significant carbon footprint and substantial volume of plastic waste. The product, its services and network may lessen the effect of these enterprises on the environment and can exhibit a viable business model.
Technologies Used
System Requirements
Set Up
Project Flow
The model is made of :
- The Web Application
- The Physical Subsystem - built using Arduino,Sensors and C++ language.
- Front-end: Chipp Recycle is smart trash can that acts as an interface between user and the waste management. The technology usually refers to the programming languages that are used to develop this platform. Chipp Recyle is website built using html,css,javascript and bootstrap.
- Back-end : Database is the heart of the technology platform, where all of the main data related to the website are stored. The Primary database will collect the details from the user’s and it's responsible for the data that are shown on UI (front-end). We use Python Postgre SQL as database software.
- FOR WINDOWS
- Windows 7 version OS, 800MHz Intel Pentium III or equivalent processor, 512MB memory and an additional 250 MB of free disk space.
- FOR UBUNTU
- 9.10 version, 800MHz Intel Pentium III or equivalent processor, 512 MB memory and an additional 150 MB of free disk space.
- FOR MAC OS
- 10.7 Intel version, Dual-Core Intel processor, 512 memory and additional 150 MB of free disk space.
- Latest version of python. Python 2.7 cannot be used with the current releases of Django (The Django 1.11.x series is the last to support Python 2.7).
The files of our webpage are huge therefore we are giving the drive link, Please find it here : Website
https://drive.google.com/drive/folders/11U0Y0paDK4NpJ8B7qCP_8984ZdAJJbf0?usp=sharing
The proposed system is a novel waste management system for Smart Cities. IoT components like sensors, detectors, and actuators are incorporated into the physical subsystem. The system is integrated by using Mini Display, smart barcode scanning camera and BIN OS with the help of arduino and raspberry pi to iterate with the online database. The web application acts as a cloud interface that allows communication between the smartbin network and the client- user network.
Reward points act as the motivating point for the users and the exchange rate for these reward points are generalized based on the agreement with the client companies. The product proves to be an effective solution for major companies producing food and beverages that have high carbon footprint
The project was based on an agile software development cycle. Where me and my team were working simultaneously on several stages of the project rather than a conventional waterfall model. We have initially agreed on the requirements of the project model that we wanted to build and the project blueprint was designed into several iterations of the project. Initially three of us divided the work based on the skill we have. Later we had the unit tests prepared for our individual stages, then integration tests. Once everything was working, we worked on the different stages on the iterations simultaneously to have the project work seamlessly. This helped us to build the project in a limited time. For my later projects I also understood how to use docker and kubernetes to enhance this sdlc of my projects.
As of earlier this hackathon, we had a brainstorming of ideas and thesis of the project can work. We made a circuit diagram but it wasn't working fine, Please find our previous work of the circuit in the image below. Further progress of the project for this hackverse 3.0 we made the complete working model of the circuit and the webpage.
