Local, instructorled live OpenCV (Open Source Computer Vision Library) training courses demonstrate through interactive discussion and handson practice how to utilize OpenCV for computer vision projects
OpenCV training is available as "onsite live training" or "remote live training" Onsite live training can be carried out locally on customer premises in Australia or in NobleProg corporate training centers in Australia Remote live training is carried out by way of an interactive, remote desktop
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OpenCV Course Outlines
OpenCV (Open Source Computer Vision Library: http://opencv.org) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms.
This course is directed at engineers and architects seeking to utilize OpenCV for computer vision projects
This instructor-led, live training introduces the software, hardware, and step-by-step process needed to build a facial recognition system from scratch. Facial Recognition is also known as Face Recognition.
The hardware used in this lab includes Rasberry Pi, a camera module, servos (optional), etc. Participants are responsible for purchasing these components themselves. The software used includes OpenCV, Linux, Python, etc.
By the end of this training, participants will be able to:
- Install Linux, OpenCV and other software utilities and libraries on a Rasberry Pi.
- Configure OpenCV to capture and detect facial images.
- Understand the various options for packaging a Rasberry Pi system for use in real-world environments.
- Adapt the system for a variety of use cases, including surveillance, identity verification, etc.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
- Other hardware and software options include: Arduino, OpenFace, Windows, etc. If you wish to use any of these, please contact us to arrange.
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