I have developed a functioning face login system based on Microsoft’s Azure Face API, Node.js and Express. After users have logged in using the face recognition system, I would like them to be able to access some personalised content from their social media platforms.
The first platform I looked at was Twitter and I made use of Tolga Tezel’s Twit package (Tezel, no date).
Continue reading “DAT602 – Face Login – Twitter Visualisations”
Now that this basic system is functioning as expected, I can use it as the basis for a Node.js/Express user authentication system using the popular Node package, Passport.
Continue reading “DAT602 – Face Login and User Authentication with Node.js Passport”
In my previous post, I developed some Python scripts which used Microsoft’s Azure Face API (Microsoft, no date) to train and recognise faces.
Whilst the scripts functioned in the way I intended, the usability of the Python scripts for face recognition is not ideal for a number of reasons.
Having spent many hours tinkering with Amazon’s Rekognition API and making little progress, I decided to investigate the face recognition Face API provided as part of Microsoft Azure Cognitive Services (Microsoft, no date).
The API provides functionality to implement face detection (“detect one or more human faces in an image and get back face rectangles for where in the image the faces are, along with face attributes which contain machine learning-based predictions of facial features. The face attribute features available are: Age, Emotion, Gender, Pose, Smile, and Facial Hair along with 27 landmarks for each face in the image”) and face verification (“check the likelihood that two faces belong to the same person. The API will return a confidence score about how likely it is that the two faces belong to one person”).
Continue reading “DAT602 – Face Recognition with Azure Face API and Python”
Following our project proposal presentation, we had a meeting with our tutor to discuss our uSense project. These are the notes from the meeting.
Continue reading “DAT602 – Project Feedback Meeting”