MInD

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MInD editor

The MInD editor, short for Machine Intelligence Designer, is a powerful user interface that enables users to easily build and deploy the Brain, which is the AI description file that powers the MInD platform. With the MInD editor, users can quickly create and customize complex pipelines that transform incoming measurements into the desired solution.

One of the key features of the MInD editor is its ability to store measurements in a fixed structure within the database. This makes it easy to access and analyze measurement data, which can then be annotated using the built-in Annotator. This annotation process helps to improve the accuracy and effectiveness of the AI models that are built using the MInD editor.

The BrainEditor is the central location where users can design and build complex pipelines for transforming measurements. This intuitive interface makes it easy to create and customize data pipelines to suit specific needs, and it provides users with the flexibility to create highly tailored AI models that can be deployed across a range of industries.

In addition to its powerful editing capabilities, the MInD platform also offers advanced management and deployment features. This includes the ability to manage and deploy Brain files, handle connections with field computers, and manage services such as the Brain, Database, and Report. Whether you are working in the cloud or on-premise, the MInD platform offers the flexibility and scalability needed to meet the unique needs of your organization.

Key features

Data manipulation

  • CSV

    Import measurements from directory or from structured CSV and insert it into database

  • Create a fixed data structure

    Creating a structure that's designed for internal use by the program and can cover an entire industrial process.

  • Tag creation and management

    Creating and managing custom tags that are specific to a particular product category. These tags can be of various types that are currently usable by AI technology.

  • User management

    Overseeing multiple users during the annotation process, ensuring that annotations produced by individual users can be compared and erroneous annotations can be eliminated.

  • Query management

    Easy or custom query creation, Store query result, Create snapshot from queries, Load measurements from queries

  • Annotation

    Assign tags to measurements

  • Easy image masking with helping tools

    Apart from the basic brush painting option, there are additional choices like superpixel, watershed, and SAM.

  • Pre-Annotate measurements with custom Brains

    It's possible to create unique AI models that perform annotations instead of humans, allowing users to review and rectify the results.

Deployment

  • Inference engine selection

    Choose the appropriate inference engine from our extensive list ( TF, ONNX, pyTorch, TensorRT, etc.)

  • Deploy with one click

    Upload new or delete existing Brains to your every selected devices in the network or in the cloud immediately or scheduled.

  • Trace your solutions

    Keep track of the performance of your deployed solutions as well as the device's performance to ensure that your system functions optimally.

Pre- and Postprocessing

  • 3rd party operations

    Interop possibilities of the images and masks with 3rd party programs

  • Node based editor to build Brains

    It's possible to create an analysis system from uncomplicated building blocks that necessitate only domain knowledge without any programming expertise. Nonetheless, it's also feasible to incorporate custom program code.

  • Wide range of built in OpenCV methods

    The system comes with the commonly used OpenCV procedures by default, but it's also possible to use any other OpenCV code.

  • Write custom operations in C#

    Ability to create customized image processing code.

  • Pipeline

    Execute the pipeline with measurement and check the result at any operation

  • Build neural networks

    Build custom neural network using the automated smart builder or piece by piece without a line of code

Maintenance

  • Monitoring

    Monitoring health status and performance of the services in the system

  • Remote configuring, restarting

    Control and configure remote machines

  • Automatic update

    Discover new services, Remote and schedulable update for services when a new version is available

Short tutorials

Layout handling

5 Videos

Tag types

7 Videos

Database

17 Videos
Details
Details

This video series provides insight into the database management offered by MInD, an essential component of artificial intelligence.

Annotator

17 Videos

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