CNN waste classification project report
Fei Wu, LiQin Zhang, An Tran

TL;DR
This project developed a CNN-based waste classification app for mobile phones, achieving high accuracy in identifying six waste categories and successfully deploying it on iOS using agile development methods.
Contribution
The report presents a CNN model for waste classification with high accuracy and demonstrates its deployment on iOS, integrating project management practices.
Findings
High accuracy in classifying six waste types
Successful deployment on iOS platform
Effective use of agile development methodology
Abstract
This report is about waste management project. We used CNN as classifier to classify waste image captured from mobile phone. Our model can identify 6 waste classes with highly accurate and our model is successfully transferred into IOS platform as application by swift. In addition, this report also introduced some basic project management from planning project to landing project, for instance using agile development to develop this waste app.
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Taxonomy
TopicsRecycling and Waste Management Techniques · Advanced Neural Network Applications
