Automatic Number Plate Recognition Workshop



Description The workshop will introduce computer vision and artificial intelligence technology in building an Automatic Number Plate Recognition (ANPR) System with Python Programming and embedded system with micro:bit. 
Learning Outcomes

On completion of the workshop, learners are expected to be able to:

  1. Understand the application of computer vision and artificial intelligence technology.
  2. Acquire knowledge and understanding of image processing techniques.
  3. Develop proficiency in Python programming.
  4. Learn about the K-Nearest Neighbors (KNN) algorithm.
  • 5 hours
Learning Contents Section 1
  • Case Study in Car Park Access Control System
  • Introduction to Image Processing
  • Introduction to Python Programming
  • Introduction to Computer Vision
Section 2
  • Introduction to K-Nearest Neighbours (KNN)
  • Training Customized Characters with KNN
  • Automatic License Plate Recognition
Supporting Tools
  • Laptop/PC with Windows 10 or above x 1
  • micro:bit x 1
  • Robot:bit x 1
  • Gate Model x 1
  • Web Cam x 1
  • Image of Car License Plate x 2
  • Micro USB Cable x 1
  • Python