Tag Archives | video stream

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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Raspberry Pi: Deep learning object detection with OpenCV

A few weeks ago I demonstrated how to perform real-time object detection using deep learning and OpenCV on a standard laptop/desktop. After the post was published I received a number of emails from PyImageSearch readers who were curious if the Raspberry Pi could also be used for real-time object detection. The short answer is “kind […]

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Real-time object detection with deep learning and OpenCV

Today’s blog post was inspired by PyImageSearch reader, Emmanuel. Emmanuel emailed me after last week’s tutorial on object detection with deep learning + OpenCV and asked: “Hi Adrian, I really enjoyed last week’s blog post on object detection with deep learning and OpenCV, thanks for putting it together and for making deep learning with OpenCV […]

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Long exposure with OpenCV and Python

One of my favorite photography techniques is long exposure, the process of creating a photo that shows the effect of passing time, something that traditional photography does not capture. When applying this technique, water becomes silky smooth, stars in a night sky leave light trails as the earth rotates, and car headlights/taillights illuminate highways in […]

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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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