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 […]
Archive | Faces
Face Alignment with OpenCV and Python
Continuing our series of blog posts on facial landmarks, today we are going to discuss face alignment, the process of: Identifying the geometric structure of faces in digital images. Attempting to obtain a canonical alignment of the face based on translation, scale, and rotation. There are many forms of face alignment. Some methods try to […]
Drowsiness detection with OpenCV
My Uncle John is a long haul tractor trailer truck driver. For each new assignment, he picks his load up from a local company early in the morning and then sets off on a lengthy, enduring cross-country trek across the United States that takes him days to complete. John is a nice, outgoing guy, who carries a […]
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 […]
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 […]
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 […]
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 […]