| 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:
- Understand the application of computer vision and artificial intelligence technology.
- Acquire knowledge and understanding of image processing techniques.
- Develop proficiency in Python programming.
- Learn about the K-Nearest Neighbors (KNN) algorithm.
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| Duration |
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| 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
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| 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
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