Motion Detection Tutorial using OpenCV Python | OpenCV Python Tutorial | Updegree
In this video, we are going to discuss Motion Detection Tutorial using OpenCV Python. In many applications based on machine vision, motion detection is used. For example, when we want to count the people who pass by a certain place or how many cars have passed a toll.
What is OpenCV?
OpenCV (Open Source Computer Vision) is an open-source library of computer vision, image analysis, and machine learning. To do this, it has an infinity of algorithms that allow, just by writing a few lines of code, identifying faces, recognizing objects, classifying them, detecting hand movements ...
OpenCV is a multiplatform library available for Windows, Mac, Linux, and Android distributed under a BSD license. It can be programmed with C, C ++, Python, Java, and Matlab.
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Do you want to Make a Practical Application Using Python and OpenCV?
If yes then this course is designed for you.
In this course, we are going to make 3 Interactive Projects using Python+ OpenCV
🌟🌟What you'll learn🌟🌟
3 Different Projects Using OpenCV
PROJECT 1: Motion Detector App [ Which Detects Any Motion in Webcam or Video]
PROJECT 2: Building a Hand Detector App [Which Detects Motion of Your Hand]
PROJECT 3: Face Recognition App
🌟🌟Who this course is for:🌟🌟
Data Science / Machine Learning Enthusiastic
Who Wants to Acquire Practical OpenCV Knowledge and Skills
Who Wants To Level Up there OpenCV knowledge
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