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Azure AI Vision vs. National Instruments Vision Builder AI

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Azure AI Vision

    Score7.2 out of 10
    N/AAzure AI Vision (formerly Azure Computer Vision) is a unified service that offers computer vision capabilities that give apps the ability to analyze images, read text, and detect faces with prebuilt image tagging, text extraction with optical character recognition (OCR), and responsible facial recognition. It is used to incorporate vision features into projects with no machine learning experience required.N/A

    National Instruments Vision Builder AI

    Score10 out of 10
    N/ANational Instruments offers Visual Builder for Automated Instruction (AI) for creating machine vision applications.N/A
    Pricing
    Azure AI VisionNational Instruments Vision Builder AI
    Editions & Modules
    No answers on this topic
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    Offerings
    Pricing Offerings
    Azure AI VisionNational Instruments Vision Builder AI
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    User Ratings
    Azure AI VisionNational Instruments Vision Builder AI
    Likelihood to Recommend
    8.0
    (1 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Azure AI VisionNational Instruments Vision Builder AI
    Likelihood to Recommend
    Microsoft
    It offers a great option for IoT and simple repetitive tasks with simple configuration but it requires having previous knowledge of Microsoft tools to get familiar with how to use it. I also think it is excellent for classification especially if your requirements about specific tools could need a lot of studies.
    Incentivized
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    NI (National Instruments)
    The perfect scenario is a production environment where items are passing in front of a camera on some type of conveyor system. Vision Builder AI can be set up to inspect those items and make decisions that can be handled down the line (rejection, sorting, etc.). It's great if you have an isolated vision system as part of a larger system that needs to just pass on results. It's not as well suited if you need that code tightly coupled with other code, such as vision-guided robotics.
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    Pros
    Microsoft
    • Out of the box capabilities.
    • Options of analysis.
    Incentivized
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    NI (National Instruments)
    No answers on this topic
    Cons
    Microsoft
    • Material to learn.
    Incentivized
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    NI (National Instruments)
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    Alternatives Considered
    Microsoft
    No answers on this topic
    NI (National Instruments)
    It all comes down to tradeoffs. Do you want something that is extremely flexible and full-featured or do you want something that is easy and fast to use? Sure there are things that you can't do in Vision Builder AI that you can implement in LabVIEW, however, the vast majority of the applications that we work on do not need that extra functionality so Vision Builder AI is the best choice for us. If we find out along the way that Vision Builder AI is not going to work for us at least we have all of the steps and parameters figured out that we can use when moving to LabVIEW.
    Incentivized
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    Return on Investment
    Microsoft
    • It provided easy configuration for project requirements.
    • Allow me to execute simple tests.
    • Great manage of resources.
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    NI (National Instruments)
    No answers on this topic
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