Helmet and Number Plate Detection using Machine Learning
helmet and number plate detection, this project works on helmet detection and license plate detection, user can upload any video or image to machine learning model and it detects that rider is wearing helmet or not.
Two-wheeler is a prevalent method of transportation in pretty much every nation. Be that as it may, there is a high hazard included as a result of less assurance. To lessen the included hazard, it is exceptionally alluring for bicycle riders to utilize head protector. Watching the helpfulness of head protector, Governments have made it a culpable offense to ride a bicycle without cap and have received manual systems to get the violators. In this model edges are separated from the recordings and changed over to grayscale picture, utilizing layout coordinating strategy (cross connection examination) bicycle riders are identified in the casing.
Helmet and Number Plate Detection and Recognition 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.
☎️ Contact Us For More Queries:-
📲 Call/WhatsApp: +91-9460060699
🌎 Website: www.techieprojects.com
📺 Instagram: @pythonprojects_
💡 Checkout Related Projects:-
1. Android App:- Click Here
2. Java Projects:- Click Here
3. OpenCV Projects:- Click Here
4. Data Science Projects:- Click Here
5. Data Analytics Projects:- Click Here
5. Deep Learning Projects:- Click Here
6. Cyber Security Projects:- Click Here
7. Machine Learning Projects:- Click Here
8. Image Processing Projects:- Click Here
9. Web Development Projects:- Click Here
10. Game Development Projects:- Click Here
11. Artificial Intelligence Projects:- Click Here
12. Database Management System:- Click Here