GARBAGE DETECTION AND CLASSIFICATION SYSTEM USING PYTHON
A Garbage Detection and Sorting System in Python is like a clever computer program that checks pictures or videos to see what kind of trash it is, like plastic or paper. It learns to tell them apart using special math tricks. The aim is to help sort trash better so we can recycle more and keep the environment tidy. It’s like having a smart friend who can quickly figure out where things belong, making it easier for us to handle our trash and look after the planet.
1. Automated Garbage Detection:- Develop a system that uses AI algorithms, such as computer vision, machine learning, or deep learning, to automatically detect and identify different types of garbage in images or video streams.
2. Classification of Garbage:- Implement a classification system that categorizes detected garbage into different classes or types (e.g., plastic, paper, metal) for efficient waste management.
3. Real-time Monitoring:- Enable real-time monitoring capabilities to detect and respond to changes in garbage accumulation promptly.
4. Integration with Existing Systems:- Integrate the AI-based garbage detection system with existing waste management infrastructure to enhance efficiency and coordination.
Waste Classification using Machine Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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