OpenCV Course
Start Date:
TBD
40
academic hours
Final Project
OpenCV Course
OpenCV, or Open Source Computer Vision Library, is a code library developed for the purpose of image processing and real-time computer vision.
OpenCV is the largest computer vision library in terms of the vast number of functions it encompasses. The library is open source and freely available for use. It was originally created by Intel and has since gained a large community of supporters and developers who continuously improve and release new and enhanced versions. OpenCV provides interfaces for various programming languages, including Python, Java, and C++.
Initially, the primary goal of creating OpenCV was real-time applications for computational efficiency. Since 2011, OpenCV has also offered GPU acceleration for real-time operations. When combined with the NumPy library, the Python programming language can process certain structures, like arrays. Image pattern recognition and feature extraction often require the use of vector and spatial calculations involving these features.
Learning image processing development with a specialization in OpenCV can significantly enhance the toolkit of developers interested in pursuing a career in the forefront of the industry, particularly in the field of Image Processing.
Who is suitable for this course?
- electronics engineers
- hardware testers with no prior software knowledge
- developers with no prior software development experience
- automation developers in software testing
Course Structure
Ch. 1
Introduction to Image and Video Processing
Ch. 2
Signals and Systems
Ch. 3
Fourier Transform and Sampling
Ch. 4
Motion Estimation
Ch. 5
Image Enhancement
Ch. 6
Image segmentation
Ch. 7
Image and Video Segmentation
Ch. 8
Geometric PDEs
Ch. 9
Image Recovery
Ch. 10
Advanced Operations, Detecting Faces and Features
Meet your instructor
Benny Cohen
Embedded Academy Founder and CEO
As a long-time veteran in the technology industry, Benny Cohen combines a deep passion for technology with extensive field experience. With a B.Sc. in Electronics Engineering and an M.Sc. in Communication Engineering, he has spent over 20 years developing software and hardware systems, including the last few years focusing on the cybersecurity industry. In addition to his role as the company founder & CEO, Benny also operates as a hands-on practitioner who specializes in penetration testing and has conducted significant security assessments for leading enterprises and security companies worldwide. His approachable teaching style and real-world expertise make learning both engaging and relevant.
What our graduates say
David M.
Embedded System course graduate
Embedded System engineer
Didn’t realy know what I wanted to focus on when applied but my career advisor laid the options down so we could see what’s a good fit for me professionally. I got into the embedded system program and feel good with this path.
Dima Solomianik
Real Time Embedded course graduate
RT Embedded Engineer, HP
After completing the course I moved onto the job interview preparation process in which I got valuable insights about what employers search for when seeking a talent to take on the role confident in the skills and experience I gained as a student. I got 3 high tech companies getting back to me to proceed to the next level
Alex K.
Real Time Embedded course graduate
Linux Kernel Developer
The Embedded systems course was very detailed and relevant as I got to work on actual client projects that show industry challenges. I now work as an embedded engineer and the skills I gained are directly applicable to my daily work.
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David F.
Embedded System course graduate
Device Driver Developer
The real-time embedded program got deep into relevant industry challenges, and I got to apply new strategies I learned to streamline our development processes.
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Liam S.
Real-Time Embedded course graduate
RTOS Specialist
I came into the real-time embedded course with limited coding experience, but the structured learning path and personalized mentorship made the transition seamless.
