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Raspberry Pi Computer Vision Training

Raspberry Pi Computer Vision Training

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Embark on a transformative journey into the world of Computer Vision with the Raspberry Pi Computer Vision Training at Tertiary Courses. This comprehensive course, tailored for enthusiasts and professionals alike, leverages the power of OpenCV to offer an immersive experience. From setting up your Raspberry Pi, capturing images and videos via webcams, to crafting visually-striking timelapse videos, every module is meticulously crafted to offer a blend of theory and hands-on practice.

Venture beyond the basics as you dive into the art of blending images, creating transitional effects, and applying various filters to refine and enhance visual data. The course further delves into object tracking based on colors, contour detection, and the nuances of face recognition. With a Raspberry Pi 4 and USB Webcam hardware kit set available on loan, every participant is equipped with the right tools to hone their skills, ensuring that by the end of the training, they are adept at turning visual data into actionable insights and captivating visuals.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

Click the links below to apply. Note that you need to register the course first.

SkillsFuture Credit

For individuals, please submit your SkillsFuture Credit

SSG TG and AP Application

For companies, please fill in the required details for grant application. SSG Training Grant Application Form

Please do not pay up front. We will advise you on the eligibility and nett fee after registration

For WSQ funding, please checkout the details at NICF - Image and Video Processing with OpenCV

UTAP

Eligible NTUC members can apply for 50% cash rebate of the unfunded fee from UTAP, capped at $250 per year. Click here to submit UTAP

Course Code: TGS-2019500331

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$298.00 (GST-exclusive)

$324.82 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Add On

None
Raspberry Pi Starter Kit (4GB) + USB Camera +$130.00

Course Date * Course Date

Course Time * Course Time: No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Course Cancellation/Reschedule Policy

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom

Course Details

Topic 1 Overview of Computer Vision

Overview of Computer Vision
Computer Vision Industrial Applications
Overview of Raspberry Pi
Setup Raspberry Pi
Introduction to OpenCV
Install OpenCV on Raspberry Pi

Topic 2 Image Processing

Basic Image and Video Operations
Drawing Shapes
Color Space
Image Addition and Blending
Geometric Transformation
Image Filtering
Morphological Transformation

Topic 3 Feature Extraction and Description

Understanding Features
Corner Detection
Thresholding
Edge Detection
Template Matching

Topic 4 Machine Learning Based Computer Vision

Haar Cascade Object Detection

Topic 5 Video Analytics

Background Subtraction
Object Detection with MeanShift
Object Detection with CAMShift
Optical Flow

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

RealVNC Viewer

Hardware: Windows and Mac Laptops

SSG Training Grant

SSG TG is $15 per pax. Net fee after SSG TG is $309.82. Absentee Payroll is not eligible.

Steps to Apply Skills Future Claim

The staff will send you an invoice with the fee breakdown.
Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
Upload your invoice and click ‘Submit’

Note

SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.

Job Roles

Computer Vision Engineer
Machine Learning Engineer
Robotics Developer
Augmented Reality Developer
Video Analytics Specialist
Multimedia Developer
Image Processing Engineer
Visual Effects Artist
Software Developer (with a focus on visual applications)
Drone Technology Developer
Biometrics Systems Engineer
Autonomous Vehicle Systems Developer
Medical Imaging Specialist
CCTV and Surveillance Systems Designer
Game Developer.

Trainers

Man Guo Chang: Man Guo Chang graduated from Nanyang Technological University, School of Electrical and Electronic Engineering, major in Computer Engineering.

He has more than 25 years of working experience in the Semiconductor field, specialized in IC Testing, Inline Electrical Testing, Product & Yield Engineering, Data Analysis, System Engineering, and Software Development. He is also an ACTA certified trainer, currently providing STEM training to adult learners in the area of Computer Vision, Internet of Things, Embedded Electronics, and Python Programming.

Ken Yuen: Ken Yuen is a ACTA certified trainer. He has more than 10 years of experience working as an instructor, Application Development Engineer, Technical Consultant and Project Manager. He is an MOE-Registered Instructor teaching STEM programs for past 3 years such as Arduino, Micro:bits and robotics to schools and libraries based on the smart nation initiative roadmap.

He completed his Diploma in Electronic Engineering at Singapore Polytechnic and graduated with Bachelor of Electrical and Electronics Engineering from Nanyang Technological University and certified PMP (Project Management Professional).

Richard Wan: Richard Wan is a ACTA certified trainer. Richard Wan has more than 30 years of experience in software development in various computer disciplines, including computer vision, communication and digital publishing.

Technical expertise includes: Windows, Linux developments with C, C++, Delphi (Object Pascal), Visual Studio, OpenCV. Embedded system programming including microcontrollers, Arduino, Pi, BeagleBone etc.