DIY project for eye tracked terminator sunglasses. This project captures real-time video from a webcam, processes it to identify the darkest region of the eye (typically the pupil), and visualizes the detected ellipse on a 128x128 RGB OLED display (SSD1351). The output ellipse is stabilized using median filtering and displayed with configurable positioning and scaling. A video tutorial can be found here: https://youtu.be/xjmwgky0e2Q.
To help support this software and other open-source projects, please consider subscribing to my YouTube channel: https://www.youtube.com/@jeoresearch
- Real-time webcam-based eye tracking using OpenCV
- Pupil detection with brightness thresholding and contour filtering
- Smoothed ellipse rendering using a rolling median of the last 5 frames
- Visualization on a 128x128 SSD1351 OLED via SPI
- Adjustable:
- X/Y position shifts (
x_shift,y_shift) - Vertical scaling of the ellipse (
y_scale) - Optional horizontal flip for mirrored display
- X/Y position shifts (
- Raspberry Pi 3/4/5 with SPI enabled
- Waveshare or equivalent 1.5" 128x128 SSD1351 RGB OLED (SPI)
- GC0308 infrared webcam
- GC0308 Eye Tracking Camera ($17): https://amzn.to/41x8p2W
- USB extension cables ($10): https://amzn.to/43SznVl
- Raspberry Pi 4B ($60): https://amzn.to/3YlQnzV
- RBG OLED Panel ($24): https://amzn.to/3ElpkxC
- Pi cable set ($6): https://amzn.to/43TeSYC
Affiliate links on this page help support the channel at no extra cost to you. As an Amazon Associate, I earn from qualifying purchases. All earnings support the development of open-source software and projects like this!
| OLED Pin | Function | Raspberry Pi Pin | GPIO |
|---|---|---|---|
| VCC | 3.3V | Pin 1 | |
| GND | Ground | Pin 6 | |
| DIN | SPI MOSI | Pin 19 | GPIO10 |
| CLK | SPI Clock | Pin 23 | GPIO11 |
| CS | Chip Select | Pin 24 | GPIO8 |
| DC | Data/Command | Pin 16 | GPIO23 |
| RST | Reset | Pin 15 | GPIO22 |
Install dependencies using pip:
pip3 install opencv-python pillow luma.oled