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Enhance Your Employability with Certified Skills and Courses in Singapore - WSQ , IBF-STS, Skills Certification

Python OpenCV Computer Vision Training

Discover the vast potential of computer vision with our Python OpenCV training at Tertiary Courses. This comprehensive course ensures participants not only set up their Raspberry Pi effectively but truly master the capabilities of OpenCV. You'll gain hands-on experience working with images, videos, webcams, and the Pi camera. Venture into the captivating world of timelapse videos, blending images, and artistic image transitioning techniques, ensuring a deep-rooted understanding of the intricate facets of computer vision.

The course doesn't stop at foundational knowledge. Dive into advanced realms as you transform images, manipulate colorspaces, and track objects with precision. Learn the nuances of employing high- and low-pass filters to refine images, detect prominent contours, edges, lines, and circles with ease, and master the cutting-edge domain of face recognition. Backed by expert guidance and immersive practical sessions, this training is your definitive pathway to conquering Python-driven OpenCV Computer Vision expertise.

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-2019500501

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)

Course Date

* 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:

Download and Install the following software

Sign up free Google Colab account

Hardware: Window or 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’

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

  • Log in to your U Portal account to submit your UTAP application upon completion of the course.

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.
  • UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
  • UTAP support amount will be paid to training provider first and claimed after end of class by learner.

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

Quah Chee Yong: Quah Chee Yong is a ACTA trainer. Chee Yong is an experienced professional who has held various Technical, Operations and Commercial positions across several industries A firm believer that AI can create a better world, he has equipped himself with the Knowledge and Skills in the fields of Data Science, Machine Learning, Deep Learning and Cloud Deployment He has a deep passion for training & facilitating and is currently a Singapore WSQ certified Adult Educator. He particularly enjoys the interactive engagements with his fellow trainers and learners.

Solomon Soh Zhe Hong: Solomon is ACTA certified and has trained and coached over 100 professionals in the area of data science, python programming and coding. Solomon is a Certified AI Engineer Associate by AI Singapore and holds certifications in Alibaba Cloud Architect and Alteryx respectively. Solomon interests include Reinforcement Learning, Natural Language Processing and Time-Series analysis.

Marcel Leng: Marcel Leng is a ACTA certified. Marcel graduated with majors in Applied Mathematics and Physics from the National University of Singapore.

His core specialisation skills are R, Python, Machine Learning, Statistical Analysis, and Data Visualisation in Tableau. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.

Customer Reviews (4)

Excellent Course and Trainer Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Course materials and knowledge of trainer is very adequate.

Saw some reviews on initial set up taking half a day and splitting the no. of course days..
Personally feel 1.5 days will be the best duration but I do prefer to keep it to 1 day.

Most of my set up was done prior to the class, if you know you are attending a programming course and bringing your own laptop, the best way to prepare is to look for an IDE, download the latest patches, etc. before the actual course date.

Not professional to pin the blame on others if it is something we ourselves can prevent in the first place. However, it goes the same for the training provider, if the laptop is being provided, then it should be made ready-to-use.

Would recommend this course! The trainer could adapt and structure the learning according to what I shared I would be using it for, and after learning about my level of coding competency. (Posted on 8/22/2023)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 8/12/2020)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The initial setup took almost half a day. (Posted on 2/25/2020)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Better split the course to two day.Is quite complicated programming course. Lucky you have a outstanding and professional Lecturer and I am attend alone. Else will be not enough time to complete the entire lesson

I don't mind course fee increase if can split it to two days. Can provide a basic camera module to participant to apply in the course.
(Posted on 8/27/2018)

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