TOPICS COVERED IN THIS LECTURE
The webinar covers Face Detection, Landmark Detection, real-time Head Tracking, and Eye State Detection. My C# code uses the Accord , OpenCV, and Dlib libraries.
Chrysler has a very cool self-driving car system called Super Cruise.
To keep things safe, Supercruise continuously checks if the driver is alert. If he or she gets tired or looks away, the car sounds a warning and the bar on the steering wheel will start blinking red.
If the driver doesn’t refocus their attention back to the road in the next couple of seconds, the car will disengage the autopilot and switch back to manual mode.
To pull this off, the car has a little camera on the dashboard filming the driver. The red lights on the steering wheel are infrared LEDs that illuminate the face of the driver and help the car’s computer vision algorithms figure out if the driver is alert or not.
But did you know you can easily do this in C#?
In this lecture, I will show you exactly how to build a simple app that helps the Chrysler car figure out if the driver has their full attention on the road.
– Introduction: who is Mark?
– Checking if a self-driving car driver is alert
– Detecting facial landmark points in real time
– Live 3D head tracking
– Live eye tracking and drowsiness detection
– Putting it all together
– C# code walkthrough
– Machine learning: a Blue Ocean niche
– Questions & answers
‘Awesome webinar Mark. Thank you’
‘Its great… thank you Mark’
‘It’s cool, I really like it’