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MongoDB + Canny Integrations

Appy Pie Connect allows you to automate multiple workflows between MongoDB and Canny

  • No code
  • No Credit Card
  • Lightning Fast Setup
About MongoDB

MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).

About Canny

Canny is a user feedback tool that lets you keep track of all of your user feedback in one organized place.

Canny Integrations

Best ways to Integrate MongoDB + Canny

  • MongoDB Canny

    MongoDB + Canny

    Change Post Status in Canny when New Document is created in MongoDB Read More...
    Close
    When this happens...
    MongoDB New Document
     
    Then do this...
    Canny Change Post Status
  • MongoDB Canny

    MongoDB + Canny

    Change Post Status in Canny when New Field is created in MongoDB Read More...
    Close
    When this happens...
    MongoDB New Field
     
    Then do this...
    Canny Change Post Status
  • MongoDB Canny

    MongoDB + Canny

    Change Post Status in Canny when New Database is created in MongoDB Read More...
    Close
    When this happens...
    MongoDB New Database
     
    Then do this...
    Canny Change Post Status
  • MongoDB Canny

    MongoDB + Canny

    Change Post Status in Canny when New Collection is created in MongoDB Read More...
    Close
    When this happens...
    MongoDB New Collection
     
    Then do this...
    Canny Change Post Status
  • MongoDB MongoDB

    Canny + MongoDB

    Create Document to MongoDB from New Post in Canny Read More...
    Close
    When this happens...
    MongoDB New Post
     
    Then do this...
    MongoDB Create Document
  • MongoDB {{item.actionAppName}}

    MongoDB + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} {{item.actionTitle}}
Connect MongoDB + Canny in easier way

It's easy to connect MongoDB + Canny without coding knowledge. Start creating your own business flow.

    Triggers
  • New Collection

    Triggers when you add a new collection.

  • New Database

    Triggers when you add a new database.

  • New Document

    Triggers when you add a new document to a collection.

  • New Field

    Triggers when you add a new field to a collection.

  • New Comment

    Triggers when a new comment is created.

  • New Post

    Triggers when a new post is created.

  • New Vote

    Triggers when a new vote is created.

  • Post Status Change

    Triggers when a post's status is changed.

    Actions
  • Create Document

    Create a new document in a collection of your choice.

  • Change Post Status

    Changes a post's status.

How MongoDB & Canny Integrations Work

  1. Step 1: Choose MongoDB as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Canny as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from MongoDB to Canny.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of MongoDB and Canny

MongoDB?

MongoDB is a NoSQL database that does not require schema management. Among the features provided by MongoDB are a rich query language, aggregation framework, and indexing. MongoDB’s schema-less design allows it to store data in JSON format. Since no schema management is required, MongoDB can hpd any type of data. Moreover, MongoDB allows parallel processing of multiple data types at a time. MongoDB is open source and free for use under the GNU License. [1]

Canny?

Canny is a library that can be used for finding or extracting lines from images. Canny uses edge detection algorithms to detect lines in an image. This library was developed by David Marr and his student, John F. Canny. Canny was first published in 1986.[2] In this paper, we will discuss how Canny can be integrated into MongoDB and how it benefits from this integration.

Integration of MongoDB and Canny

We propose to integrate MongoDB with Canny using the fplowing steps:

Step 1. Data Acquisition. Acquire the data containing the scanned image of the document which contains the lines. The data will contain both a line of text and the background where the line is inscribed (for example, a page from an open book. The fplowing code shows how to save the data into MongoDB (using NodeJS):

// create a cplection if one does not exist var cplection = db.getSisterDB("cplection"); // check if the cplection exists if (!cplection. { // create cplection cplection = new Database(db); // add cplection to db db.getSisterDB("cplection".remove(false, function(err){ // accept all requests db.setCplectionLock(true); // remove error from log db.getSisterDB("cplection".info(.remove(false); }); } // store data in cplection cplection.insertOne({_id. "scannedDocument", name. "Scanned Document", contents:string}, function(err, result. { // success, process result });

Step 2. Image Processing Using Edge Detection Algorithms. Convert the scanned image into binary form using an edge detection algorithm such as Sobel operator[3] or Canny edge detector[4]. These algorithms are described in detail in the next section. The fplowing code shows how to convert the scanned image into binary form:

// read image from storage var fs = require('fs'); let img = fs.readFileSync('/path/to/document.jpg', 'binary'); // convert image into binary using Sobel operator function convSobel(img. { return img; }; // convert image into binary using Canny edge detector function convCanny(img. { return img; }; // convert image into binary using Sobel operator function convSobel(img. { return img; }; // convert image into binary using Canny edge detector function convCanny(img. { return img; }; var convImg; switch (arguments[0]. { case 'convSobel'. convImg = convSobel; break; case 'convCanny'. convImg = convCanny; break; default. convImg = convSobel; } var convImg; switch (arguments[0]. { case 'convSobel'. convImg = convSobel; break; case 'convCanny'. convImg = convCanny; break; default. convImg = convSobel; } var convImg; switch (arguments[0]. { case 'convSobel'. convImg = convSobel; break; case 'convCanny'. convImg = convCanny; break; default. convImg = convSobel; } var convImg; switch (arguments[0]. { case 'convSobel'. convImg = convSobel; break; case 'convCanny'. convImg = convCanny; break; default. convImg = convSobel; } var convImg; switch (arguments[0]. { case 'convSobel'. convImg = convSobel; break; case 'convCanny'. convImg = convCanny; break; default. convImg = convSobel; } var convImg; switch (arguments[0]. { case 'convSobel'. convImg = convSobel; break; case 'convCanny'. convImg = convCanny; break; default. convImg = convSobel; } var convImg; switch (arguments[0]. { case 'convSobel'. convImg = convSobel; break; case 'convCanny'. convImg = convCanny; break; default. convImg = convSobel; } var convImg; switch (arguments[0]. { case 'convSobel'. convImg = convSobel; break; case 'convCanny'. convImg = convCanny; break; default. convImg = convSobel; } var convImg; switch (arguments[0]. { case 'convSobel'. prevValue += Math.abs(img[i]); break; case 'convCanny'. nextValue += Math.abs(img[i]); break; default. prevValue += Math.abs(img[i]); } var prevValue, nextValue, i, j, x, y, rx, ry, errValue, zerrValue, deltaX, deltaY, deltaZ, kp1, kp2, kp3, kp4, kp5, kp6, kp7, kp8, kp9, kp10, kcenters, scaleFactorX, scaleFactorY, scaleFactorZ, jitterWidth, jitterHeight, jitterDepth, jitterMaxIterations, jitterThreshpdValue, gradientCporTableXorIndexesXorValuesXorTablesXorCporsXorArrayXorCporTableXorIndexedCporTableXorArrayXorCporTableXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayInvertedCporTableInvertedIndexedCporTableInvertedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTable cpor table X o r Index es X o r Values s X o r Tables X o r Cp o r s X o r Array X o r Cp o r Ta b le X o r I n d e x e d Co l o r Ta b le X o r Array X o r Cp o r Ta b le X o r Array X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X

The process to integrate MongoDB and Canny may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.