Vehicle Accident Detection and Alert System using Deep Learning
Accident Detection and Alert System using ML, Machine Learning 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.
The motivation behind this research stems from the dire need to enhance road safety and minimize the devastating consequences of accidents. Accurate accident detection systems have the potential to save lives, reduce injuries, and mitigate economic losses. The following factors underscore the significance of this research:
Human Lives: Accidents claim a significant number of lives each year, and any system that can help save lives and reduce injuries is of paramount importance.
Technological Advancements: Recent advancements in ML and computer vision have made it possible to develop highly efficient and accurate accident detection systems.
Smart Cities: The concept of smart cities relies on integrating technology to enhance urban life, and accident detection is a critical component of creating safer and more efficient urban environments.
Road 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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