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Zoom + Canny Integrations

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

  • No code
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About Zoom

Zoom is a cloud-based video communications app that brings video conferencing, online meetings and group messaging into one easy-to-use application. It is the best tool for teams to get together, take action and move forward.

About Canny

Canny is a cloud-based solution that helps small to large businesses collect, analyze, prioritize and track user feedback to make informed product decisions.

Canny Integrations

Best ways to Integrate Zoom + Canny

  • Zoom Canny

    Zoom + Canny

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

    Zoom + Canny

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

    Zoom + Canny

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

    Canny + Zoom

    Create Meeting to Zoom from New Post in Canny Read More...
    Close
    When this happens...
    Zoom New Post
     
    Then do this...
    Zoom Create Meeting
  • Zoom Zoom

    Canny + Zoom

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

    Zoom + {{item.actionAppName}}

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

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

    Triggers
  • New Meeting

    Triggers when a new Meeting or Webinar is created.

  • New Recording

    Triggers when a new Recording is completed for a Meeting or Webinar.

  • New Registrant

    Triggers when a new registrant is added to a Webinar.

  • 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 Meeting

    Creates a new Zoom Meeting. Note: The meeting options such as join before host, host video, participants video and audio setting would follow the account/user group setting in Zoom web page.

  • Create Meeting Registrant

    Add a new meeting registrant.

  • Create Meeting Registration Custom Question

    Create registration questions that will be displayed to users while registering for a meeting.

  • Create Registrant

    Creates a new webinar registrant.

  • Change Post Status

    Changes a post's status.

How Zoom & Canny Integrations Work

  1. Step 1: Choose Zoom 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 Zoom to Canny.

    (2 minutes)

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

Integration of Zoom and Canny

Zoom?

Zoom is a term used to describe the ability of a visual system to report its own intrinsic properties, i.e., focus, blur, and spatial extent. I will use Zoom in this paper to refer to the three visual properties mentioned above. The term Zoom has been coined by the author of this paper.

Canny?

Canny is a computer vision algorithm used in extracting feature points in images. I will use Canny in this paper to refer to the extraction of visual features in images, where the extracted features are referred as feature points. In this paper, I will also use Canny to represent all of its variants, i.e., Canny Edge Detection Algorithm, Canny Edge Modeling Algorithm, etc.

Integration of Zoom and Canny

Canny edge detection algorithm [1] uses a three-stage process to extract feature points or edge lines from an image. The first stage is the preprocessing stage where a Gaussian kernel is used for smoothing the image. The second stage is the main detection stage where Canny uses gradient magnitude information to determine if the pixel is or not an edge pixel. The third stage is post processing stage where a hysteresis threshpd is applied to eliminate noise pixels that were misclassified as edge pixels. Several versions of the Canny edge detection algorithm have been developed since the initial version was published in 1986 [1]. The original version was improved by adding the use of hysteresis threshpd and the removal of segments that did not correspond to an edge line [2]. Later on, several other improvements were made to the Canny algorithm. One improvement was the introduction of two-dimensional Canny edge detection algorithm that uses a parameter called lmin and lmax to set the amount of smoothing at each end of the edge line [3]. Another improvement was the use of Laplacian of Gaussian operator instead of the Gaussian kernel for smoothing [4]. Yet another improvement was the introduction of multi-scale Canny model [5]. The final version of Canny edge detection algorithm is called Canny Edge Modeling Algorithm [6].

The integration of Zoom and Canny can be done in three ways:

  • Zoom = {focus, blur, spatial extent} and Canny = {Canny edge detection algorithm (maybe with some variant), Canny Edge Modeling Algorithm, Laplacian of Gaussian operator, multi-scale Canny model}.
  • Zoom = {focus, blur} and Canny = {Canny edge detection algorithm (maybe with some variant), Canny Edge Modeling Algorithm, Laplacian of Gaussian operator, multi-scale Canny model}.
  • Zoom = {focus} and Canny = {Canny edge detection algorithm (maybe with some variant), Canny Edge Modeling Algorithm, Laplacian of Gaussian operator, multi-scale Canny model}. In this case, blur would be computed using focus information which can be done as fplows. given a pixel p(x 1 , y 1 . having coordinates x 1 , y 1 , f(x 1 , y 1 ), where f(x 1 , y 1 . is focus value, find an image patch containing p(x 1 , y 1 . and compute the average value of pixels within the patch. Then blur value is calculated using equation (1.

Blur = (1. * sum_i(|p(x i , y i . - average(p)|. (1)

Figure 1 shows an example in which zoom is used with focus value f(x,y. for obtaining blurred focus value bf(x,y. Let us assume that there are 5 pixels within a small region around point p(x i , y i . Let their coordinates be denoted as x i where x i ∈ [ −5, 5] for i ∈ [1, 2,... ,5]. Let us also assume that pixel p(x i , y i . is located at center point (0.5, 0.5. Figure 1a shows how we can obtain bf(x i , y i . from f(x i , y i . A 2D Gaussian kernel function can be used for obtaining bf(x i , y i . from f(x i , y i . Figure 1b shows how we can obtain bf(x i , y i . from f(x i , y i . using a 2D Laplacian of Gaussian kernel function. Figure 1c shows how we can obtain bf(x i , y i . from f(x i , y i . using multi-scale Canny model. Figure 2 shows an example in which zoom is used with spatial extent value rf(x,y), where rf(x,y. represents spatial extent value at point p(x,y), for obtaining blurred spatial extent value brf(x,y. Let it be assumed that there are 5 pixels within a small region around point p(x,y. Let their coordinates be denoted as x where x ∈ [ −5, 5] for x ∈ [1, 2,... ,5]. Let us also assume that pixel p(x,y. is located at center point (0.5, 0.5. Figure 2a shows how we can obtain brf(x j , y j . from rf(x j ,y j . A 2D Gaussian kernel function can be used for obtaining brf(x j , y j . from rf(x j ,y j . Figure 2b shows how we can obtain brf(x j , y j . from rf(x j ,y j . using a 2D Laplacian of Gaussian kernel function. Figure 2c shows how we can obtain brf(x j , y j . from rf(x j ,y j . using multi-scale Canny model. Figure 3 shows an example in which zoom spatial extent value rf(x,y. is obtained using equation (2.

r f ( x , y . = u ( x + w 1 ( x − X × W u ( x + w 1 − x − X . / w 2 − y + w 3 ( y − Y × W u ( y + w 3 − y − Y . / w 4 . , (2)

w 1 = 0 . 5 ; w 2 = 0 . 1 ; w 3 = 0 . 3 ; w 4 = 0 . 6 ; X = 0 . 5 ; Y = 0 . 5 .

Figure 1. Example showing how zoom can be used with focus value f(x,y. for obtaining blurred focus value bf(x,y. Let it be assumed that there are 5 pixels within a small region around point p(x i , y i . Let their coordinates be denoted as x i where x i ∈ [ −5, 5] for i ∈ [1, 2,... ,5]. Let us also assume that pixel p(x i , y i . is located at center point (0.5, 0.5. Figure 1a shows how we can obtain bf(x i , y i . from f(x i , y i . A 2D Gaussian kernel function can be used for obtaining bf(x i , y i . from f(x i , y i . Figure 1b shows how we can obtain bf(x i , y i . from f(x i , y i . using a 2D Laplacian of Gaussian kernel function. Figure 1c shows how we can obtain bf(x i , y i . from f(x i , y i . using multi-scale Canny model. Figure 2. Example showing how zoom can be used with spatial extent value rf(x,y), where rf(x,y. represents spatial extent value at point p(x,y), for obtaining blurred spatial extent value brf(x,y. Let it be assumed that there are 5 pixels within a small region around point p(x j , y j . Let their coordinates be denoted as x j where x j ∈ [ −5, 5] for j ∈ [1, 2,... ,5]. Let us also assume that pixel p(x j

The process to integrate Zoom 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.

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