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.
Import measurements from directory or from structured CSV and insert it into database
Creating a structure that's designed for internal use by the program and can cover an entire industrial process.
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.
Overseeing multiple users during the annotation process, ensuring that annotations produced by individual users can be compared and erroneous annotations can be eliminated.
Easy or custom query creation, Store query result, Create snapshot from queries, Load measurements from queries
Assign tags to measurements
Apart from the basic brush painting option, there are additional choices like superpixel, watershed, and SAM.
It's possible to create unique AI models that perform annotations instead of humans, allowing users to review and rectify the results.
Choose the appropriate inference engine from our extensive list ( TF, ONNX, pyTorch, TensorRT, etc.)
Upload new or delete existing Brains to your every selected devices in the network or in the cloud immediately or scheduled.
Keep track of the performance of your deployed solutions as well as the device's performance to ensure that your system functions optimally.
Interop possibilities of the images and masks with 3rd party programs
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.
The system comes with the commonly used OpenCV procedures by default, but it's also possible to use any other OpenCV code.
Ability to create customized image processing code.
Execute the pipeline with measurement and check the result at any operation
Build custom neural network using the automated smart builder or piece by piece without a line of code
Monitoring health status and performance of the services in the system
Control and configure remote machines
Discover new services, Remote and schedulable update for services when a new version is available
This video series provides insight into the database management offered by MInD, an essential component of artificial intelligence.
This video provides a brief overview of the MInD annotator interface.
This video provides a concise overview of how to import, navigate, filter, and select images from the database to be used in the MInD annotator interface.
The presentation showcases how to navigate and zoom in an image that has been loaded into the annotator.
A tutorial video demonstrating the process of adding tags to an image in the MInD platform.
The MInD platform offers two types of tags – product tags and measurement tags. In this video, you can get a brief overview of what these tags are and how they are used within the platform.
SingleLabel is one of the MInD’s tag types.
MultiLabel is one of the MInD’s tag types.
Numeric is one of the MInD’s tag types.
Point is one of the MInD’s tag types.
Box is one of the MInD’s tag types.
A short summary of what the mask tag is in the MInD annotator
In MInD annotator, managing mask tags is simple. This short summary video explains how to add and manage mask tags in just a few easy steps.
Briefly summarizing the common elements of the mask painting toolbar in the MInD annotator, regardless of the selected painting option.
The Mask Freepaint function allows for brush painting with a variety of adjustable options.
The rectangle painting tool allows you to select a rectangular area and either fill it in or delete its contents.
Polygon painting is a tool that allows drawing any polygon in the mask and filling or deleting its enclosed area.
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