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GALLERY
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Robotics will going to be the next breakthrough technology worldwide, RSB is aimed to become a premium robotics company providing high-end robotic products and solutions.
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The First Malaysian Humanoid Robot
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PYTHON 3: Computer Vision with Pi
Wed, 07 Oct
|Futurise Center
This course introduces OpenCV for Python 3 while integrating with Raspberry Pi 4 to come out. It will show how to leverage the image-processing power of OpenCV to identify and recognize features. This course also include machine learning part in doing facial recognition using classifier.
Time & Location
07 Oct 2020, 9:00 am – 08 Oct 2020, 5:00 pm
Futurise Center, Persiaran Apec, Cyber 8, 63000 Cyberjaya, Selangor, Malaysia
About the Event
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 for Python 3 while integrating with Raspberry Pi 4 to come out. It will show how to leverage the image-processing power of OpenCV to identify and recognize features. This course also include machine learning part in doing facial recognition using classifier.
Course Highlights
● Installing and configuring SimpleCV and OpenCV
● Using Pi Camera
● Integrating into Raspberry Pi 4
● Object detection and image processing
● Face and feature detection
● Facial Recognition
Course Objectives
After successfully completing this course, participants should be able...
1. To understand how to use Opencv for computer vision.
2. To integrate computer vision application into hardware.
3. To create computer vision application using Pi and OpenCV.
4. Differentiate between machine learning library and classifier.
Who this course is for:
1. Students/Lecturers
2. Researchers
3. Engineers
Level: Intermediate
Age Group: 17 and Above
Additional Note: Please bring your own laptop for hands-on training with Linux OS/Windows.
Tickets
Individual Fee*
After 27th January 2020
RM 900.00Sale endedEarly Bird Individual*
Before 27th January 2020
RM 750.00Sale endedGroup (Min 3pax)
RM 700.00Sale ended
Total
RM 0.00