Waste Detection using YOLO Algorithm | Waste Detection and Classification using Machine Learning

Garbage Detection using YOLO

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.

Advantages of using the Plastic Waste Detection System using Python:-

1. Faster Sorting: It sorts trash quicker than humans.

2. Saves Resources: Helps to use materials better and reduces waste.

3. Cleaner Environment: Keeps the environment cleaner by sorting trash efficiently.

4. Saves Money: Costs less than manual sorting in the long run.

5. Helps Decision Making: Gives useful data about trash for better decisions.

Technologies : Python, and YOLO model for detection

Trash Detection System using YOLO

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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