As part of the Face Login system, I have access to a number of images of faces that were used to train the face recognition system. It would make sense to be able to display a profile image of the logged-in user using one of these photographs. The plan is to upload all the images… Read More »
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… Read More »
In my previous post, I described the development of a web interface that used Javascript to access Microsoft’s Cognitive Services Azure Face API. This interface allowed an image of a face to be captured via a web-cam and identified against a previously trained Person Group. Now that this basic system is functioning as expected, I… Read More »
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… Read More »
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. To overcome these weaknesses, I decided… Read More »
In my previous post, I documented my tests with Node-RED and IBM Watson’s sentiment and tone analysis services. This post will look at basic face detection using the visual recognition service. Ultimately, I hope to use visual recognition for emotion detection. For this testing, I will be using a Raspberry Pi, Pi Camera, and a… Read More »