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Raspberry Pi Computer Vision Training

This course will explore the vast opportunities of computer vision with the Raspberry Pi and Python. The course will show you how to develop webcam and Raspberry Pi based applications. Topics include

  • Set up your Raspberry Pi and master computer vision with OpenCV
  • Work with images, videos, webcams, the Pi camera, and create amazing timelapse videos
  • Blend images and create artistic effects such as image transitioning
  • Transform images, change colorspaces, and track objects based on colors
  • Use various high- and low-pass filters to remove noise from the image
  • Find contours and segments in images and detect edges, lines, and circles

SkillsFuture Credit Applicable for Individual

WDA Training Grant Applicable for Company

Each participant will get a Raspberry Pi Camera worth $35

Course Code: CRS-N-0033985

Course Booking


Course Date

Course Time

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Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Module 1 Getting Started ….

  • What is Computer Vision
  • Raspberry Pi Computer Vision Packages
  • Picamera Package
  • Installing SimpleCV Package
  • Installing OpenCV Package

Module 2 Pi Camera Basics

  • Setup Pi Camera
  • Capturing Image with Pi Camera
  • Recording Video with Pi Camera
  • Picamera Settings
  • Add Text to Image
  • Visual, AWB and Exposure Effects
  • Export to Numpy

Module 3 SimpleCV Basics

  • Capture Image with Webcam
  • Read and Show Image
  • Image Processing
  • Image Arithmetic
  • Features Extraction
  • Chroma Key
  • RGB Histogram
  • Add Text 
  • Draw Graphics

Module 4 OpenCV Basics

  • Capture Image with Webcam
  • Read and Show Image
  • Draw Graphics
  • Image Arithmetics
  • Image Processing
  • Color Space Conversion
  • Low Pass Filters
  • High Pass Filters
  • Feature Extraction

Who Should Attend

  • Engineers to use Raspberry Pi computer visoin
  • Robotics scientists that to use Raspberry Pi computer vision


Basic knowledge of Raspberry Pi and Python are required for this advance course.


Raspberry Pi TrainerSM Chan is an experienced electronics veteran. He has more than 20 years experience in the electronics industry and worked in a number of MNCs such as IBM, Seagate, Broadcom etc. He has a lot of experience in electronics, Raspberry Pi, C, C++, Python and Perl programmings.

TrainerWee Chee Hong is a veteran consultant in the field of Engineering Design. He has over 20 years experience in electronics/ IT industry with several MNCs including Compaq, Adaptec, Agilent, etc., with specialization in Automation System Design (drilling/ milling machine, 3D machine automation, machine data collection, test & measurement electronics design), Motion control design & applications. With wide technical skill set in development language/ tools .Net, Java, PowerBuilder to C++/ C/C#, he has also strong knowledge in development of firmware for microcontroller such as PIC, ARM and others.

Chee Hong graduated with a B.Eng degree in Electrical Electronics Engineering and holds a Master Degree of Technology from NUS.

Robotics Python TrainerMing Liang is an up-and-coming developer with expertise ranging from deep learning to hardware like the raspberry pi. He specialises mostly in the area of data science and machine learning and has won several hackathons and is ranked highly in international competitions. Furthermore, he has also done projects as part of the maker community in Singapore and build his own 3D printer as well

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