Traffic Sign Recognition using Machine Learning | Python | CNN | Image Processing

Traffic Sign Recognition System using CNN

Traffic Signs plays major role in road safety as they are essential for road information to drivers. An Automated Traffic sign recognition system can help to improve in road safety and efficient on Indian roads. For Example: If system should have to recognize β€œstop” sign and gave alert to drive to stop their vehicle, so it prevents accident.

Traffic Signs Recognition using CNN and Keras in 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.

πŸ“² Call/WhatsApp: +91-9460060699

🌎 Website: www.techieprojects.com

πŸ“Ί Instagram: @pythonprojects_


πŸ’‘ 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