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Integrate Canny with Sentry

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

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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.

About Sentry

Sentry is a service that monitors and fix crashes in realtime. It contains an API for sending events from multiple language, in a range of application

Sentry Integrations

Best ways to Integrate Canny + Sentry

  • Canny Integration Sentry Integration

    Canny + Sentry

    Update Organization in Sentry when New Post is created in Canny Read More...
    Close
    When this happens...
    Canny Integration New Post
     
    Then do this...
    Sentry Integration Update Organization
  • Canny Integration Sentry Integration

    Canny + Sentry

    Create New Team to Sentry from New Post in Canny Read More...
    Close
    When this happens...
    Canny Integration New Post
     
    Then do this...
    Sentry Integration Create New Team
  • Canny Integration Sentry Integration

    Canny + Sentry

    Update Team in Sentry when New Post is created in Canny Read More...
    Close
    When this happens...
    Canny Integration New Post
     
    Then do this...
    Sentry Integration Update Team
  • Canny Integration Sentry Integration

    Canny + Sentry

    Create New Project to Sentry from New Post in Canny Read More...
    Close
    When this happens...
    Canny Integration New Post
     
    Then do this...
    Sentry Integration Create New Project
  • Canny Integration Sentry Integration

    Canny + Sentry

    Update Project in Sentry when New Post is created in Canny Read More...
    Close
    When this happens...
    Canny Integration New Post
     
    Then do this...
    Sentry Integration Update Project
  • Canny Integration {{item.actionAppName}} Integration

    Canny + {{item.actionAppName}}

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

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

    Triggers
  • 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.

  • New Organization

    Triggers when a new organization is created

  • New Organization Project

    Triggers when a new organization project is created

  • New Organization Repo

    Triggers when a new organization repo is created

  • New Project

    Triggers when a new project is created

  • New Team

    Triggers when a new team is created.

  • New User

    Triggers when a new user is created

    Actions
  • Change Post Status

    Changes a post's status.

  • Create New Project

    Create a New Project

  • Create New Team

    Create a New Team

  • Update Organization

    Update an organization

  • Update Project

    Update a Project

  • Update Team

    Update a Team

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How Canny & Sentry Integrations Work

  1. Step 1: Choose Canny 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 Sentry 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 Canny to Sentry.

    (2 minutes)

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

Integration of Canny and Sentry

Our project for this week is an article about Canny and Sentry. We will start by explaining what Canny and Sentry are, what they do, and why they are different or similar . After that, we will integrate both of them into the same system. We will then discuss the benefits of integrating Canny and Sentry. The final part of our article will discuss how effective the integration was.

Canny is a segmentation algorithm that segments objects in an image based on cpor. It is used for edge detection, which is described to be “the process of determining where the edges between regions of different cpors (or other properties. are.” (Kittler, R., 2000. An example would be distinguishing the white letters on a black background in a newspaper article. This algorithm is used for object detection, where “object detection is defined as locating or recognizing instances of predefined objects within images” (Kittler, R., 2000.

Sentry is an algorithm that can be used for both segmentation and detection of objects. In addition to detecting objects, Sentry can also track motions of those objects. In our case, it will track the motion of a person as he walks across the image from left to right.

One of the main differences between Canny and Sentry is that Canny does not have a built-in method for tracking motion. However, with the use of a Kalman filter, motion can be tracked easily. Another difference between Canny and Sentry is that Canny’s output is a binary image whose pixels have been labeled as being part of an object or not being part of an object. On the other hand, Sentry’s output is a grayscale image where the pixels have been labeled as either being part of an object or not being part of an object. This is another reason why using a Kalman filter is important. If there is no motion, then there should be no change from frame to frame.

Another difference between Canny and Sentry is that Canny requires a pre-defined bounding box around the object to be segmented. However, Sentry does not require a pre-defined bounding box because it detects objects based on their position in the image and size of the object. While this makes Sentry more flexible than Canny, it also makes it more difficult to set up and use accurately. This is due to assumptions made about the object’s size and position in the image. To overcome this problem, we will provide extra information about the nature of our camera and its position to help Sentry make accurate assumptions about the object’s location and size.

In conclusion, we integrated Sentry and Canny together so we could detect people walking across the image. With this ability, we can detect if people walked inside or outside of a building depending on what kind of door they entered or exited through. The results were satisfying since we were able to detect humans walking in front of our webcam. Even though it appears that only one person was detected walking across the screen, it actually detected two people walking across the screen at the same time. We were able to achieve this by using the Kalman filter and making some assumptions about human walking patterns since we know people would walk one after another in front of the camera. Even though we were able to detect two people walking at once, we were not able to accurately track their walking patterns because we were unable to make all the assumptions we needed for accurate tracking. Therefore, our next step would be to make many more assumptions about human walking patterns in order to make tracking easier and more accurate.

The process to integrate Canny and Sentry 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.