Tag Archives | face regions

Raspberry Pi: Facial landmarks + drowsiness detection with OpenCV and dlib

Today’s blog post is the long-awaited tutorial on real-time drowsiness detection on the Raspberry Pi! Back in May I wrote a (laptop-based) drowsiness detector that can be used to detect if the driver of a motor vehicle was getting tired and potentially falling asleep at the wheel. The driver drowsiness detector project was inspired by […]

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Eye blink detection with OpenCV, Python, and dlib

In last week’s blog post, I demonstrated how to perform facial landmark detection in real-time in video streams. Today, we are going to build upon this knowledge and develop a computer vision application that is capable of detecting and counting blinks in video streams using facial landmarks and OpenCV. To build our blink detector, we’ll be […]

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Real-time facial landmark detection with OpenCV, Python, and dlib

Over the past few weeks we have been discussing facial landmarks and the role they play in computer vision and image processing. We’ve started off by learning how to detect facial landmarks in an image. We then discovered how to label and annotate each of the facial regions, such as eyes, eyebrows, nose, mouth, and jawline. Today […]

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Detect eyes, nose, lips, and jaw with dlib, OpenCV, and Python

Today’s blog post is part three in our current series on facial landmark detection and their applications to computer vision and image processing. Two weeks ago I demonstrated how to install the dlib library which we are using for facial landmark detection. Then, last week I discussed how to use dlib to actually detect facial landmarks in […]

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Facial landmarks with dlib, OpenCV, and Python

Last week we learned how to install and configure dlib on our system with Python bindings. Today we are going to use dlib and OpenCV to detect facial landmarks in an image. Facial landmarks are used to localize and represent salient regions of the face, such as: Eyes Eyebrows Nose Mouth Jawline Facial landmarks have been successfully […]

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