Deep Learning Tool for Industrial Image Processing | MVTec - MVTec Software (original) (raw)

The MVTec Deep Learning Tool allows users to get started with deep learning without scripting or additional frameworks. The software provides an intuitive user interface that enables all steps to be carried out visually.

Users can annotate image data, train deep learning models, and evaluate the results directly within the tool. The focus is on a clear workflow and traceable model development for industrial applications.

DEEP LEARNING TOOL

Core Features At A Glance

Visual labeling of image data

Training of deep learning models for various tasks

Evaluation with integrated metrics

MVTec offers the Deep Learning Tool in several editions. These differ in terms of licensing model, integration options, and degree of customization.

An overview of the editions and their features is available on the corresponding details page.

Integration in HALCON and MERLIC

The MVTec Deep Learning Tool is fully integrated into the MVTec product ecosystem. Trained models can be directly exported for use in MVTec HALCON and MVTec MERLIC.

In HALCON, the models are used programmatically and integrated into complex image processing applications. In MERLIC, the models are available as deep learning tools and can be used in no-code machine vision applications.

DEEP LEARNING BASED MACHINE VISION

Typical Application Areas

Quality control and defect detection

Electronics and PCB inspection

Robotics and pick-and-place

Logistics and packaging

Pharma and MedTech applications

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Get started with the Deep Learning Tool

The MVTec Deep Learning Tool offers a fast path to a complete deep learning solution with its intuitive user interface. It provides active support for optimizing trained networks, ensuring the best performance. The tool integrates seamlessly into the MVTec portfolio, allowing for smooth integration into existing workflows. Additionally, it gives you full control over your own data, ensuring privacy and flexibility throughout the process.

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