Accident Detection System Using YOLOv8 and CNN Algorithms
Smart Vehicle Accident Detection and Alert System using Machine Learning , ML is a great approach to take good decision with technical advancement to manage current situation and finding of analysis part. The Machine Learning model will detect and identifying the car accident and classify the type of accidents like minor or major accident and alert detects fire and warning with beep sound and sent alert message to nearby police station or person. This project developed using python programming language and Tkinter is used for developing User Interface. This model is trained on large dataset of images and videos.
Vehicle Accident Detection and Alert System using Python
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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