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Python OpenCV Computer Vision Training

OpenCV is an open-source toolkit for advanced computer vision. It is one of the most popular tools for facial recognition, used in a wide variety of security, marketing, and photography applications, and it powers a lot of cutting-edge tech, including augmented reality and robotics.

This course introduces OpenCV 3 for Python 3. It will show how to leverage the image-processing power of OpenCV to identify and recognize features.

Topics include:

  • Installing and configuring OpenCV
  • Data types and structures
  • Image types
  • Manipulating pixels
  • Scaling and rotating images
  • Using video inputs
  • Creating custom interfaces
  • Thresholding
  • Object detection
  • Face and feature detection
  • Template matching

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M596

Course Booking

MYR880.00

Course Date

Course Time

* Required Fields

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. Gat Started on OpenCV

  • What is OpenCV?
  • Install OpenCV
  • Your first OpenCV program

Module 2. Image Processing In OpenCV

  • Access image and pixels
  • Manipulating pixels 
  • Blur, dilation and erosion effects
  • Scale and rotate images
  • Live video inputs

Module 3. Object Detection

  • Segmentation and binary images
  • Simple thresholding
  • Adatptive thresholding
  • Skin detection
  • Contours
  • Area, perimeter and curvature
  • Edge detection

Module 4: Face and Feature Detection

  • Template matching
  • Haar Cascading
  • Eye detection

Module 5: Video Analysis

  • Meanshift
  • Camshift
  • Background Subtraction

Who Should Attend

  • Computer Vision Engineers
  • Optical Engineers
  • Machine Learning Developers

Prerequisite

Participants are required to know basic Python

Trainers

Python TrainerSaeid 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 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

Data Science TrainerDr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

IoT and Robotics TrainerReza 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.

Raspberry Pi TrainerTed Chan is an experienced and PMP certified Project Manager with 11 years experience in managing projects. He managed software and IT infrastructure projects for MNCs in Telecommunications, Oil & Gas and Finance sector. He brings with him applied project management techniques on software development, system implementation, data center transformation, process improvement and service development projects. During his tenure, he managed large virtual teams and sub-contractors collaborating remotely across multiple continents and time-zones to deliver complex projects. Ted is also a proficient user of MS Project. He used it for PMO reporting, resource booking, project effort estimation, progress tracking and Earn Value Management.

Owing his long and successful career in IT to those who inspired and touched his life, Ted sought to give back to the community with Malaysia Raspberry Pi Club, a computing and STEM education club he founded. He wanted to emulate the success of Raspberry Pi Foundation of UK in increasing computer literacy amongst children. Through conducting hands-on workshops, show & tell sessions and Raspberry Jam, he managed to introduce Raspberry Pi to members of the public from all ages and background. More people gain awareness of an affordable computing platform and learned Python programming, Linux and Physical Computing through those activities he organized.

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