Last Page Update: 19/03/2019
The automatic analysis of facial expressions has drawn attention of several researchers in different fields such as psychology, computer science, neuroscience and others. In the last years, the researchers has introduced and evaluated several approaches for face detection, recognition and analysis. The facial expression recognition can be used for human-computer interface (HCI), computer graphics animation, security and surveillance and driver safety. In this work we propose a creative deep face recognition system using Raspberry Pi 3. It detects seven expression and show on an 8X8 RGB LED matrix.
- Raspberry Pi 3
- Camera (e.g. camera eye Ps3)
- Adafruit NeoPixel NeoMatrix 8x8 - 64 RGB LED Pixel Matrix
Run: python real_time_face_expression.py
Raspberry Pi: https://boutique.ed-diamond.com/home/1232-hackable-magazine-hs-2.html https://learn.adafruit.com/raspberry-pi-led-matrix-display/overview
Video: https://www.youtube.com/watch?v=FsdQwKeY5lg
This work was based on the code: https://github.com/noobCubed/Real-Time-Facial-Expression-Recognition
More details: https://www.behance.net/portfolio/editor?project_id=77665511