RoboScan
This is the source code for a Lego+Raspberry Pi-powered analog film roll scanner. Watch it in action:
Parts
You'll need these items to build RoboScan:
- A digital camera with a macro lens: must be compatible with libgphoto2 with image capture and preview support.
- A Raspberry Pi: you may choose a Pi 4 if your camera supports USB 3, otherwise a Pi 2 or 3 is fine.
- A 28BYJ-48 Stepper Motor with Driver: easy to find and cheap (about $6)
- 3D-print an adapter to integrate the stepper motor in the legos: use the stepper mount and axis adapter provided by this project (you'll need some bolts to attach the motor to the adapter): https://create.arduino.cc/projecthub/fredrikstridsman/lego-stepperbot-df26b9.
- Adafruit White LED Backlight Module.
- A LED driver such as Recom Power RCD-24-0.70/PL/B.
- A high-power LED, such as New Energy LST1-01G03-4095-01: a 4000K white LED, with a CRI (Color Rendering Index) of 95.
- Build the lego part: https://www.mecabricks.com/en/models/r121kn4gvlB.
Installation
First build the Angular frontend:
cd scanner-frontend
npm install
ng build --prod
cd ..
Then deploy the docker-compose:
cd docker
# Adjust the hostname to your Raspberry Pi
export DOCKER_HOST=tcp://piscanner:2376 DOCKER_TLS_VERIFY=
docker-compose up -d --build
cd ..
Starting it
The camera must be connected to the Raspberry Pi via USB. It must be compatible with libgphoto2.
Connect to the web interface
Simply navigate to http://piscanner/ (adjust the hostname to your Raspberry Pi)
Optional: Google Coral TPU
You can improve the machine learning inference performance by using a Google Coral Edge TPU USB Accelerator plugged on a USB port of the Raspberry Pi. To do so, you have to change the file src/Dockerfile. Replace:
CMD ["python", "webapp.py", "--destination", "/storage/share", "--archive", "/storage/archive", "--temp", "/storage/tmp"]
by:
CMD ["python", "webapp.py", "-tpu", "--destination", "/storage/share", "--archive", "/storage/archive", "--temp", "/storage/tmp"]
|
|
