Inspiration
This was a challenge for the Major League Hacking 2021 (Local Hack Day). The goal was to do a great week-long project that used Computer Vision in a cool way.
What it does
It is able to analyze images or videos, and detect the amount and position of the predicted faces. It is a project that gives valuable information and could be used in many applications.
How we built it
I built it using Python and the best computer vision opensource project (OpenCV). I used a Haar Cascade Classifier built and trained by OpenCV.
Challenges we ran into
Understanding the way that a Cascade Classifier works and taking it to a video approach that has specific frequency and time specifications to work properly.
Accomplishments that we're proud of
I learnt a lot during this project, specially the math and theory that is behind this amazing computer vision projects.
What's next for My Own Face Detector!
To be able to recognize faces (not only detect them).
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