AI FOR EVERYONE HOMEWORK SOLUTION: Face Recognition with Live Video in OpenCV

In this video lesson we show you how to recognize faces in live video from your WEBcam. It  is the homework solution for lesson #16. This builds on the earlier video lessons in this series, so if any of this does not make sense, go back and check out some of the earlier lessons.

 

AI for Everyone LESSON 16: Face Recognition with OpenCV

Guys in this lesson we learn how to not only detect faces in an image, but also recognize who the person is. We start by training our model with known faces, and then find and identify those faces in other pictures. For your convenience, I include the code developed in this lesson below.

 

AI for Everyone LESSON 15: Face Detection using OpenCV

In this video lesson we show a simple method to detect faces in a WEB cam frame using openCV and Haar Cascades. We use pretrained models to find, box and track faces in a frame. Enjoy!

 

Using Contours in OpenCV to Track an Object of Interest

In this lesson we showed how to track on object in openCV based on color, create contours for the object of interests, and then track the object of interest by drawing a bounding box around it. For your convenience, the code is included below.

 

Tracking Two Colors in OpenCV


In this video lesson we show  how you can track two different colored objects at the same time in OpenCV. It is the homework solution to the homework we assigned in the last lesson. It will also serve as the starting code for future lessons

 

Making The World a Better Place One High Tech Project at a Time. Enjoy!

Exit mobile version