Detection of Road Pothole using Image Processing
Pothole Detection using Machine Learning, this project mainly focuses on pothole that is besides on roads so this ML model will detect that pothole and calculate the height and width of pothole also estimate the longitude and latitude of road where the pothole. Pothole may be in the right, center or left side of road so it gave the voice feedback to driver where the location of pothole. So the chances of accident is less. This machine learning model is trained on large dataset of images that contains different types of pothole so that machine learning model can easily identified it.
A Deep Learning Approach for Street Pothole Detection
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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