Traffic Sign Classification using Computer Vision | Machine Learning Projects

Traffic Signs Detection and Recognition System using Deep Learning

Traffic Sign Recognition using Convolutional Neural Networks (CNN) to detect and identify the traffic sign from input images or videos. This project main aim to develop an automated system that classify accurately various traffic sign on Indian roads, it contributes to development of advanced driver assistance system (ADAS) and autonomous vehicle.

Indian traffic sign detection and recognition using Machine learning

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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