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bezineb5
198 Stars 15 Forks GNU General Public License v3.0 24 Commits 0 Opened issues

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Raspberry Pi-powered analog film automatic scanner

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RoboScan

This is the source code for a Lego+Raspberry Pi-powered analog film roll scanner. Watch it in action: RoboScan

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 ULN2003A 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 or Sparkfun FemtoBuck LED Driver. * A 50V, 47 μF capacitor * 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.

Part 1: Wiring

Diagram

Roboscan wiring diagram

(made using Fritzing with the help of parts from e-radionica.com and Blomquist)

ULN2003A wiring

Put a 50V, 47 μF capacitor between the LED+ and LED - pins of the driver.

| ULN2003A Stepper Motor driver | Raspberry Pi | | ----------- | ----------- | | IN1 | GPIO 5 | | IN2 | GPIO 6 | | IN3 | GPIO 13 | | IN4 | GPIO 19 | | POWER+ | 5V power (such as the one next to the Ground) | | POWER - | Ground (such as the one next to the 5V power) |

Recom Power RCD-24-0.70/PL/B Backlight LED driver wiring

| Recom Power RCD-24-0.70/PL/B | Raspberry Pi | | ----------- | ----------- | | 1 - +Vin | 5V power (the one not already used by the stepper motor) | | 3 - PWM/ON/OFF | GPIO 18 | | 4 - GND | Ground (such as the one next to the GPIO 18) |

Alternative: Sparkfun FemtoBuck Backlight LED driver wiring

Untested - make sure to solder the jumper that can be closed with a glob of solder to double the output current from 330mA to 660mA. | Sparkfun FemtoBuck LED Driver | Raspberry Pi | | ----------- | ----------- | | V-/PGND | Ground (any remaining) | | V+/VIN | 5V power (the one not already used by the stepper motor) | | D-/DGND | Ground (such as the one next to the GPIO 18) | | D+/CTRL | GPIO 18 |

Part 2: Software installation

Prepare the Raspberry Pi

Follow Raspberry foundation documentation, such as: https://projects.raspberrypi.org/en/projects/raspberry-pi-setting-up. Tip: you can set the hostname of your Raspberry Pi to "piscanner" as it's what's used in this tutorial. You can use raspi-config for this.

Install Docker

The easiest is to use the "convenience script" as described here: https://docs.docker.com/engine/install/debian/#install-using-the-convenience-script.

In a nutshell: ```bash curl -fsSL https://get.docker.com -o get-docker.sh sudo sh get-docker.sh

Add your user to the docker group

sudo groupadd docker sudo usermod -aG docker $USER ```

Install docker-compose

Full docker-compose installation instructions are available here: https://docs.docker.com/compose/install/#install-compose-on-linux-systems.

On Raspbian, the easiest is to install it through Python's pip: ```bash

Install Python3 and pip

sudo apt install python3 python3-pip

Install docker-compose

sudo pip install docker-compose ```

Clone this repository on your Raspberry Pi

git clone https://github.com/bezineb5/RoboScan.git
cd RoboScan

Start the application

Now, you will ask docker to build and start the application. This might take a while (30-120 minutes).

bash
cd docker
docker-compose up -d --build

It will start all components and restart them at reboot.

Part 3: Using RoboScan

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:

Dockerfile
CMD ["python", "webapp.py", "--destination", "/storage/share", "--archive", "/storage/archive", "--temp", "/storage/tmp"]
by:
Dockerfile
CMD ["python", "webapp.py", "-tpu", "--destination", "/storage/share", "--archive", "/storage/archive", "--temp", "/storage/tmp"]

Optional: for developers

The easiest is to code on you PC and deploy docker containers remotely. To do so, enable remote access to the docker daemon.

# Set the DOCKERHOST variable (only once)
export DOCKER_HOST=tcp://piscanner:2376 DOCKER_TLS_VERIFY=

Then deploy as usual

cd docker

Adjust the hostname to your Raspberry Pi

docker-compose up -d --build cd ..

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