Real time Plastic Bottle Detection with Deep Learning
Project Description:-
In this project user can provide input video and it works on real-time as well, if user gave input then it will identify that bottle is defected or not. it also checks that bottle is available in that image or video. Similar it works for real-time, laptop front camera will open and if bottle is not place in front of camera then it shows No bottle is found. In other case, if bottle is found then model will check that bottle is defected or not. Project model completely integrated with software developed in tkinter library. About Page shows the project description and python programming language is used to developed that software.
Model is trained on dataset of multiple images of Defected Bottle or Normal Bottle, then model used in testing file and used for testing that particular image. Machine Learning is used to trained model.
Fault Detection 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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