DAT602 – Face Recognition with Azure Face API and Python

Face detection result

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”).

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DAT506 – Assignment Part 1 – Smart Cycling Jacket

The Brief

By embedding technology in items such as clothing and jewellery, the wearables movement aims to make smart clothes and devices that enhance everyday life.

Working in groups, and using the fablab and workshop equipment and maker technologies we explore in the class, your task is to produce a piece of wearable technology which will be presented as part of a DAT fashion show. Continue reading “DAT506 – Assignment Part 1 – Smart Cycling Jacket”

DAT 406 – Assignment Part 1 – Twitter Balloons

#AmericanFloaters completed build
The Brief

Your task is to link virtual and physical technology in an artistic, thoughtful, engaging and/or playful way. Create a system where a real object controls something on the web, or virtual data controls a real object. Be imaginative and creative and have fun. You might think of it as real-world data visualisation, or using physical objects to make a comment on virtual processes. Continue reading “DAT 406 – Assignment Part 1 – Twitter Balloons”