You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Smart Glasses for Police Force, a wearable augmented reality glasses with applications in security, medical and industrial field applications such as remote monitoring surgical operations. Our solution is built with state of the art IOT components integrated with Artificial Intelligence. The glasses essentially automate the process of asking for…
Mediante el uso de un script con OpenCV aprenderemos las caras que nos interesen y con otro script arrancaremos la función de reconocimiento. Control de acceso al laboratorio con reconocimiento facial.
This was a datapalooza event hosted by Amazon in the Computing Commons at Arizona State University Tempe Campus. It was a lab for learning how to use AWS DeepLens cameras to capture and recognize facial expressions.
These are a set of tools using OpenCV, Tensorflow and Keras, with which you can generate your own model of facial landmark detection and demonstrate the effect of newly-generated model easily.
Final project for computational photography course taken at Portland State University. This algorithm uses haar features to detect elements of the face, including nose, eyebrows, lips, eyes etc.
This is a little project to create facial recognition algorithm, below 100 lines of code, to recognize the members of the German Federal Cabinet. I used icrawler and OpenCV. Training data is ok but could be improved with more data.