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HRD Corp Approved Training Provider Malaysia - Industrial 4.0 Certification Training and Education

Raspberry Pi Computer Vision Training

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.

Note that no Raspberry Pi kit will be given to participants for this course You required to bring your own Raspberry Pi and USB camera

Certificate

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

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M247

Course Booking

MYR1,000.00

Course Date

Course Time

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you asap.

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

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

This is a intermediate course. The following knowledge is assumed

  • Basic programming
  • Basic electronics
  • Basic Raspberry Pi

Software Requirement

Please install the following software prior to the class

HRDF Funding

Please refer to this video https://youtu.be/Kzpd-V1F9Xs

1-     HRD Corp Grant Helper

How to submit grant applications for HRD Corp Claimable Courses

2-     Employers are required to apply for the grant at least one week before training commences.

Employers must submit their applications with supporting documents, including invoices/quotations, trainer profiles, training schedule and course content.

3-     First, Login to Employer’s e-TRIS account -https://etris.hrdcorp.gov.my

Second, Click Application

4-     Click Grant on the left side under Applications

5-     Click Apply Grant on the left side under Applications

6-     Click Apply

7-     Choose a Scheme Code and select HRD Corp Claimable Courses: Skim Bantuan Latihan Khas. Then, click Apply

8-     Scheme Code represents all types of training that suit the requirements provided by HRD Corp. Below are the list of schemes offered by HRD Corp:

9-     Select your Immediate Officer and click Next

10-  Select a Training Provider, then click Next

11-  Please select a training programme from the list, then key in all the required details and click Next

Select your desired training programme.

Give an explanation on why the participant is required to attend the training. E.g., related to their tasks/ career development, etc.

Explain the background and objective of this training.

Select a relevant focus area. For Employer-Specific Courses, select ‘Not Applicable’.

12-  If the training programme is a micro-credential programme, you are required to complete these 3 fields. Save and click Next

Insert MiCAS Application number

13-  Based on the nine (9) pillars listed below, HRD Corp Focus Area Courses are closely tied to support government initiatives towards nation building. As such, courses offered through the HRD Corp Focus Areas are designed to provide the workforce with skills required for current and future demands. Details of the focus areas are as follows:

14-  Please select a Course Title and Type of Training

15-  Select the correct type of training according to the actual type of training, or as mentioned in the training brochure:

16-  Please key in the Training Location and click Next

17-  Please select the Level of Certification and click Next

18-  Please follow the instructions and key in trainee details

19-  Click Add Batch, then click Save

20-  Click Add Trainee Details

21-  Please key in all the required details, then click Add

22-  Click Add if there are more participants. Once done, click Save

23-  Click Next

24-  Please key in the course fees and allowance details, then click Save

25-  Estimated cost includes the course fees/external trainer fees, allowances, and consumable training materials. Please comply with the HRD Corp Allowable Cost Matrix.

26-  Select Upfront Payment to Training Provider and key in the percentage from 0% to 30%. Then, click Save and Next

27-  Complete the declaration form and select a desired officer

28-  Add all the required documents, then click Add Attachment. Then, click Save and Submit Application

29-  Once the New Grant Application is successfully submitted, the Grant Officer will evaluate the application accordingly. The application may be queried if additional information is required.

The application status will be updated via the employer’s dashboard, email, and the e-TRiS inbox.

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

Nouar AlDahoul: Nouar AlDahoul is a PhD candidate in IIUM Malaysia. She is an AI researcher and developer. She has +6 years of hands-on experience in the machine learning field including deep and reinforcement learning. She has been working as a research assistant in different research centers such as UM, IIUM, MMU universities. She has published many papers in different journals and conferences. Her research interests are: Deep learning, Reinforcement learning, computer vision, Data visualization, Data analysis and embedded system.

Reza Khosravi: Reza Khosravi is the founder and CEO of Skymics Sdn Bhd a High Tech MSC status company in field of IT and Internet of Things Technology. He has over 15 years of experience in IT and Telecomunication. He is the inventor of the C65 embedded device. He graduated from Staffordshire University with MBA degree in IT.

  • More than 5 years of experiance in Smart Cities Solutions
  • Expert on Embedded System Design, Raspberry Pi and Arduino
  • Expert on IBM Blunix and IBM Watson
  • More than 3 years of experiance in filed of IoT solutions.
  • He is the designer of below IoT Projects in last 3 years.
  1. Smart Building System
  2. Energy Monitoring, Controlling and Saving
  3. Environmental Monitoring
  4. Flood detection and prediction system based on IoT and big data
  5. Online Weather Station Based on IoT
  6. Smart Farming System (Long Range Wireless Sensor Networks)
  7. Smart Hydroponic System Based on IoT
  8. IP TV and Digital Signage System
  9. RFID Payment Gateway Solutions
  10. GPS Tracking System
  11. Remote Sensing

Saeid Alizadeh: Saeid Alizadeh is a technopreneur specialized in field of IOT (Internet of things), Building Management System (BMS), Building Automation System (BAS), Automotive Hydroponics Systems, and generally sense, monitor and control mechanical and electrical equipment such as ventilation, lighting, power systems, fire systems, and security systems.

Saeid’s past experience on IoT application include:

  1. Smart Building System
  2. Energy Monitoring, Controlling and Saving
  3. Environmental Monitoring 
  4. Flood detection and prediction system based on IoT and big data 
  5. Online Weather Station Based on IoT
  6. Smart Farming System (Long Range Wireless Sensor Networks)
  7. Smart Hydroponic System Based on IoT
  8. IP TV and Digital Signage System
  9. RFID Solution 
  10. GPS Tracking System
  11. Remote Sensing

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