https://github.com/alancunningham/waveshare-eink-face-detector

A Raspberry Pi powered e-ink display that detects faces and snaps a photo.
https://github.com/alancunningham/waveshare-eink-face-detector

camera detects-faces eink face-detection faces opencv opencv-python photo photoframe python3 raspberry-pi raspberry-pi-camera raspberrypi waveshare waveshare-eink

Last synced: about 1 month ago
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A Raspberry Pi powered e-ink display that detects faces and snaps a photo.

• Host: GitHub
• URL: https://github.com/alancunningham/waveshare-eink-face-detector
• Owner: AlanCunningham
• Created: 2020-10-01T22:35:03.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2024-07-10T11:50:23.000Z (6 months ago)
• Last Synced: 2024-07-10T13:57:25.764Z (6 months ago)
• Topics: camera, detects-faces, eink, face-detection, faces, opencv, opencv-python, photo, photoframe, python3, raspberry-pi, raspberry-pi-camera, raspberrypi, waveshare, waveshare-eink
• Language: Python
• Homepage:
• Size: 1.04 MB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Waveshare E-Ink Face Detector

A Raspberry Pi powered e-ink display that detects faces and displays them as a photo on [Waveshare's 7.5 inch e-ink display](https://www.waveshare.com/7.5inch-e-paper-hat.htm).



# Hardware requirements

- Raspberry Pi

- [Waveshare's 7.5 inch e-ink display](https://www.waveshare.com/7.5inch-e-paper-hat.htm)

- A camera (e.g. the Raspberry Pi camera, USB camera, or a networked video feed)

- A photo frame

# Installation

```

# Clone the repository

git clone [email protected]:AlanCunningham/waveshare-eink-face-detector.git

# Create a python virtual environment

python3 -m venv venv

# Activate the virtual environment

source venv/bin/activate

# Install the python dependencies using the requirements.txt file provided

pip install -r requirements.txt

```

# Running the script

If you're using the Raspberry Pi camera or a USB camera:

```

(venv)$ python main.py

```

If you're using a networked camera:

```

(venv)$ python main.py --video url_to_video_feed

```

The script will look for faces and take a photo if one is detected for more than

2 seconds and display it on the screen.  It'll then go to sleep for a given amount

of time to prevent it updating while the face is still there.