Recycling Scanner System Development
Preferred learners
Categories
Skills
Project scope
- What is the main goal for this project?
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The main goal for the project is to develop a comprehensive recycling scanner system powered by machine learning that accurately identifies and categorizes various types of plastics, including Multi-Layer Plastics (MLP) and other recyclable materials. The project aims to simplify and enhance recycling processes by providing instant, accurate recycling codes for different commercial products through image recognition, facilitating better sorting, recycling, and management of plastic waste, contributing to environmental sustainability efforts.
- What tasks will learners need to complete to achieve the project goal?
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Tasks for learners to complete to achieve the project goal:
- Develop a user-friendly digital submission form for uploading photos of various commercial plastic products along with their recycling codes.
- Create a backend system to organize and store the submitted data efficiently for machine learning training purposes.
- Develop a robust material recognition service that utilizes machine learning to analyze images of plastic products and provide accurate recycling information.
- Test the recognition service rigorously to ensure high accuracy and reliability across a wide range of plastic products and packaging types.
Final deliverables:
1. A secure, accessible online submission form for uploading images of plastic products and their recycling codes.
2. A fully functional material recognition service accessible via web or mobile application, offering an intuitive interface for users to scan product images and receive instant feedback on the recycling category and code.
- What is the main goal for this project?
-
The main goal for the project is to develop a comprehensive recycling scanner system powered by machine learning that accurately identifies and categorizes various types of plastics, including Multi-Layer Plastics (MLP) and other recyclable materials. The project aims to simplify and enhance recycling processes by providing instant, accurate recycling codes for different commercial products through image recognition, facilitating better sorting, recycling, and management of plastic waste, contributing to environmental sustainability efforts.
- What tasks will learners need to complete to achieve the project goal?
-
Tasks for learners to complete to achieve the project goal:
- Develop a user-friendly digital submission form for uploading photos of various commercial plastic products along with their recycling codes.
- Create a backend system to organize and store the submitted data efficiently for machine learning training purposes.
- Develop a robust material recognition service that utilizes machine learning to analyze images of plastic products and provide accurate recycling information.
- Test the recognition service rigorously to ensure high accuracy and reliability across a wide range of plastic products and packaging types.
Final deliverables:
1. A secure, accessible online submission form for uploading images of plastic products and their recycling codes.
2. A fully functional material recognition service accessible via web or mobile application, offering an intuitive interface for users to scan product images and receive instant feedback on the recycling category and code.
Supported causes
About the company
ILS Canada leads in promoting environmental progress through the efficient collection of recyclables that were previously considered non-recyclable and disposed of as waste. It accomplishes this by organizing educational events that encourage communities and participants to actively contribute to the recycling circular economy, driving innovation in the sorting of recyclable materials.
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