Originally published at: NICF – Image and Video Processing with OpenCV | WSQ Courses – WSQ courses | SkillsFuture Courses
Image and video processing is the process of transforming image and video data. It is used extensively to capture and preprocess image and video before feeding to a computer vision system. On the other hand, computer vision is a field involves the understanding of image and video content such as image recognition, object detection and segmentation.
OpenCV is a popular free cross-platform open-source library for image and video processing. It is used extensively in computer vision system for image and video processing. OpenCV is also designed for real-time applications.
Learning Outcomes
By end of the course, learners should be able to
- understand basic vision systems concepts and applications
- apply image processing with OpenCV
- implement feature extraction with OpenCV
- apply machine learning based computer vision methods
- implement video analytics algorithms with OpenCV
- evaluate edge vs cloud-based computer vision systems
Course Objectives
- Learners will be able to setup and deploy computer vision system using OpenCV
Course Material
A RPI kit set will be loan out to trainee for training use. The kit set on loan will be as follows:
- Raspberry Pi 4 Model B 4GB
- 16G microSD Card preloaded with Raspberry OS.
- Raspberry Pi Power Adaptor
- USB Camera
Course Brochure
Download NICF – Image and Video Processing with OpenCV Brochure
Skills Framework
This course follows the guideline of Computer Vision Technology ICT-DIT-4022-1.1 TSC under ICT Skills Framework
Certification
Two e-certificates will be awarded to trainees who have demonstrated competency in the WSQ assessment and achieved at least 75% attendance.
- A SkillsFuture WSQ Statement of Attainment (SOA) issued by WSG. Typically will take 3-4 weeks.
- Certification of Completion issued by Tertiary Infotech Pte Ltd issued after the class.
WSQ Funding
WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.
| Effective from 1 Jan 2022 | |||
| Full Fee | GST | Nett Fee after Funding (Incl. GST) | |
| Normal | MCES / SME | ||
| $900 | $63 | $513.00 | $333.00 |
Normal: Singaporean/PR age 21 and above
MCES: Singaporean age 40 and above
| Effective for courses starting from 1 Jan 2023 | |||
| Full Fee | GST | Nett Fee after Funding (Incl. GST) | |
| Normal | MCES / SME | ||
| $900 | $72.00 | $522.00 | $342.00 |
Normal: Singaporean/PR age 21 and above
MCES: Singaporean age 40 and above
WSQ TG Application Form
Eligible individuals and company can apply for WSQ TG. Please login to Skilleto and fill in the required details for grant application. Please click here to submit for WSQ TG
Please do not pay upfront. We will advise you on the eligibility and nett fee after registration. Company sponsored staff are eligible for Absentee Payroll.
After the WSQ subsidy, you can offset the nett fee by the following :
SkillsFuture Enterprise Credit (SFEC)
Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit
SkillsFuture Credit
Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding. Click here for SkillsFuture Credit submission
PSEA
Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding. Click here for ad-hoc PSEA application form.
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
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