Any troubles installing, try out the already compiled Raspberry Pi (Buster) Image of Magic Mirror with Face Recognition module.

MMM-Face-Multi-User-Recognition-SMAI This is a module for the MagicMirror² to add face recognition. This module uses OpenCV face-recognition with DNN to handle the user profile recognition.

With this module you can show and hide all other modules depending on which person is recognized. For example, if you are in front of the mirror, the mirror will show you your agenda, but if a stranger is in front, the agenda will not be shown. This module works in the background, and so no screenshots are available.

Jun 27, 2024 · MMM-Face-Recognition-SMAI Uses a Camera Module 3 and Open CV to recognize faces and then sends an HDMI CEC command to turn the screen on or off. The face recognition was one of the most difficult parts because, while the module is fairly simply, it assumes that you’ve installed OpenCV and trained a face recognition model which took me a …

Nov 6, 2020 · Because our “old” MMM-Facial-Recognition-OCV3 module is not working fine for me and is some days old i decided to create a new module with OpenCV 4.1 and Deep Neural Network to recognize faces. Thanks to normyx for this …

Jan 22, 2018 · { module: 'MMM-Facial-Recognition', config: { // 1=LBPH | 2=Fisher | 3=Eigen recognitionAlgorithm: 1, // Threshold for the confidence of a recognized face before it's considered a // positive match.

May 9, 2020 · Imagine a Smart mirror that could work as a central touchscreen interface for your home to control smart home appliances, provide the latest news, stocks, and features Face recognition. Well, this is possible! In this article, you’re going to find out how.

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Imagine a Smart mirror that could work as a central touchscreen interface for your home to control smart home appliances, provide the latest news, stocks, and features Face recognition. Well, this is possible! In this article, you're going to find out how.

Provides a rich user interface for managing the facial recognition: capturing images, categorising, rebuilding model, and configuring the overall face recognition system. The theory is that you can configure, test and debug everything through the user interace. (UI available at http://$HOST:8081/)