Sai GopinathMing Rui LeeHamza Shah KhanDario LiuHossein Khayami
Published

Whiteboard drawing robot

Meet our innovative, portable drawing system that can mount on any whiteboard and precisely render any user or AI generated vector image.

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Whiteboard drawing robot

Things used in this project

Hardware components

Stepper Motor, Bipolar
Stepper Motor, Bipolar
×2
Arduino Mega 2560
Arduino Mega 2560
×1
RAMPS board
×1
A4988 Stepper driver
You need 2 pcs of these drivers to drive two stepper motors mounted at the top corners of the whiteboard.
×2
Timing belt pulley and wheels
×1
Power Supply
×1
SG90 Micro-servo motor
SG90 Micro-servo motor
×1
Limit Switch, 5 A
Limit Switch, 5 A
Any similar switch limit should work.
×2

Software apps and online services

Makelangelo
Adobe Illustrator
Marlin

Hand tools and fabrication machines

3D Printer (generic)
3D Printer (generic)
Laser cutter (generic)
Laser cutter (generic)
Drill / Driver, Cordless
Drill / Driver, Cordless

Story

Read more

Custom parts and enclosures

Hook A

The left hook that connects the belt to the gondola

Gondola

The body of the drawing robot that holds the servo motor, maker, and weights.

Hook B

The right hook that connects the belt to the gondola

Counterweight

Attach this part to the end of the belts so that you can easily hang counterweights to them.

Customized Microcontroller Mount

Donut

ShieldTop

Shield_Base

Servo horn cap

Cap that fits on the servo horn to push the body away from the whiteboard in order to lift the marker up and down

Marker rings

Rings to tightly fit around the marker to secure it in place in the gondola.

Mounts

Mounts for holding the stepper motor, timebelt, nuts and bolts

Schematics

Overall Flow Diagram

Overall Flow Diagram 2

Code

SVG Image Generator Script

Python
Python script that calls the dalle API to generate an image from any prompt, downloads and converts the output to SVG.
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  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2Mag01wLAq02",
        "outputId": "4b240a8f-fb3a-43d1-b2b1-60be3570c411"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting openai\n",
            "  Downloading openai-1.3.7-py3-none-any.whl (221 kB)\n",
            "\u001b[?25l     \u001b[90m\u001b[0m \u001b[32m0.0/221.4 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m\u001b[0m\u001b[90m\u001b[0m\u001b[90m\u001b[0m \u001b[32m194.6/221.4 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m\u001b[0m \u001b[32m221.4/221.4 kB\u001b[0m \u001b[31m4.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: anyio<4,>=3.5.0 in /usr/local/lib/python3.10/dist-packages (from openai) (3.7.1)\n",
            "Requirement already satisfied: distro<2,>=1.7.0 in /usr/lib/python3/dist-packages (from openai) (1.7.0)\n",
            "Collecting httpx<1,>=0.23.0 (from openai)\n",
            "  Downloading httpx-0.25.2-py3-none-any.whl (74 kB)\n",
            "\u001b[2K     \u001b[90m\u001b[0m \u001b[32m75.0/75.0 kB\u001b[0m \u001b[31m8.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: pydantic<3,>=1.9.0 in /usr/local/lib/python3.10/dist-packages (from openai) (1.10.13)\n",
            "Requirement already satisfied: sniffio in /usr/local/lib/python3.10/dist-packages (from openai) (1.3.0)\n",
            "Requirement already satisfied: tqdm>4 in /usr/local/lib/python3.10/dist-packages (from openai) (4.66.1)\n",
            "Requirement already satisfied: typing-extensions<5,>=4.5 in /usr/local/lib/python3.10/dist-packages (from openai) (4.5.0)\n",
            "Requirement already satisfied: idna>=2.8 in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.5.0->openai) (3.6)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.5.0->openai) (1.2.0)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->openai) (2023.11.17)\n",
            "Collecting httpcore==1.* (from httpx<1,>=0.23.0->openai)\n",
            "  Downloading httpcore-1.0.2-py3-none-any.whl (76 kB)\n",
            "\u001b[2K     \u001b[90m\u001b[0m \u001b[32m76.9/76.9 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting h11<0.15,>=0.13 (from httpcore==1.*->httpx<1,>=0.23.0->openai)\n",
            "  Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
            "\u001b[2K     \u001b[90m\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: h11, httpcore, httpx, openai\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "llmx 0.0.15a0 requires cohere, which is not installed.\n",
            "llmx 0.0.15a0 requires tiktoken, which is not installed.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed h11-0.14.0 httpcore-1.0.2 httpx-0.25.2 openai-1.3.7\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (2.31.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests) (3.6)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests) (2023.11.17)\n",
            "Collecting convertapi\n",
            "  Downloading convertapi-1.7.0-py2.py3-none-any.whl (7.3 kB)\n",
            "Requirement already satisfied: requests>=2.4.2 in /usr/local/lib/python3.10/dist-packages (from convertapi) (2.31.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.4.2->convertapi) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.4.2->convertapi) (3.6)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.4.2->convertapi) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.4.2->convertapi) (2023.11.17)\n",
            "Installing collected packages: convertapi\n",
            "Successfully installed convertapi-1.7.0\n"
          ]
        }
      ],
      "source": [
        "%pip install openai\n",
        "%pip install requests\n",
        "%pip install --upgrade convertapi"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import openai\n",
        "from openai import OpenAI\n",
        "import requests\n",
        "import convertapi\n",
        "\n",
        "from google.colab import userdata"
      ],
      "metadata": {
        "id": "FDITo7eHA0U7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "convertapi.api_secret = userdata.get('CAPI')\n",
        "\n",
        "client = OpenAI(\n",
        "    api_key=userdata.get('OAI'),\n",
        ")"
      ],
      "metadata": {
        "id": "3LqKqTJ8A1jp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "prompt = \"simple line art of a cat, vector drawing, svg\""
      ],
      "metadata": {
        "id": "JsTZCDQwBVCK"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "response = client.images.generate(\n",
        "  model=\"dall-e-3\",\n",
        "  prompt=prompt,\n",
        "  size=\"1024x1024\",\n",
        "  quality=\"standard\",\n",
        "  n=1,\n",
        ")\n",
        "\n",
        "image_url = response.data[0].url\n",
        "\n",
        "data = requests.get(image_url).content\n",
        "f = open('my_image.png','wb')\n",
        "f.write(data)\n",
        "f.close()\n",
        "\n",
        "result = convertapi.convert('svg', { 'File': 'my_image.png' })\n",
        "\n",
        "# svg file has to be downloaded from Files menu on the left side\n",
        "result.file.save('my_image2.svg')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "VtJLFbqYBX4-",
        "outputId": "8b0db2cc-4a5c-4fbd-8499-2c50a7c7d041"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'my_image2.svg'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from IPython.display import SVG, display\n",
        "display(SVG('my_image2.svg'))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "LQg4RuprCj24",
        "outputId": "c4702386-f162-4ea4-b918-12a8986839d4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.SVG object>"
            ],
            "image/svg+xml": "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" version=\"1.1\" id=\"Layer_1\" x=\"0px\" y=\"0px\" width=\"1024px\" height=\"1024px\" viewBox=\"0 0 1024 1024\" enable-background=\"new 0 0 1024 1024\" xml:space=\"preserve\">  <image id=\"image0\" width=\"1024\" height=\"1024\" x=\"0\" y=\"0\" xlink:href=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABAAAAAQACAIAAADwf7zUAAAAIGNIUk0AAHomAACAhAAA+gAAAIDo AAB1MAAA6mAAADqYAAAXcJy6UTwAAAAGYktHRAD/AP8A/6C9p5MAAAAJcEhZcwAAHsIAAB7CAW7Q dT4AAIAASURBVHja7F1lYBTXFj5nZuNEgCRocHd3d7cKpUrdXV5dX11fvbSUCkUKtBQoUiju7m4J hBBIQlx357wfY3dkJQaR+72+sDty59reOfKdczG/wOnnQBcICAYQAACYDiJzFpkPBD4BfbuMo1Sh DRa6OcuHiYOFj79ur6h486qkesYzKl6/lSAKOwRlsDML9Q4tDZTBPimP8GUEeVdfc1iHCe2uKaWR skpfvjyraIuDh1UFSXKRUAC5SEQFEvgJIBnrQQSARVyY2Fv4jOfg4KiEKPKqzcHBwcHBwcJgKWDk c1aXADAfBLNArp4kQASUJAIy2/u9KyXcUMzBwcHhEYXSAfiCysHBwcHhIwxiOAEhANhrBZp2gEDK 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "id": "gY0WRR4hGl_g"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "LLnBgYmkE_Tc"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}

Adapted Marlin Firmware

Firmware to control the servo and stepper motors given instructions from the Makelangelo drawing software. We have adapted the code to work with our specifications.

Credits

Sai Gopinath

Sai Gopinath

1 project • 1 follower
Ming Rui Lee

Ming Rui Lee

0 projects • 2 followers
Hamza Shah Khan

Hamza Shah Khan

0 projects • 1 follower
Dario Liu

Dario Liu

0 projects • 1 follower
Hossein Khayami

Hossein Khayami

0 projects • 1 follower

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