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Machine vision software for industrial automation tasks

MVTec presents vision software for quality inspection, code reading and robot guidance in automated production environments.

  www.mvtec.com
Machine vision software for industrial automation tasks

Machine vision is increasingly used in industrial automation to support inspection, traceability and robot-assisted processes. Software platforms combining rule-based image processing and deep learning are expanding the range of possible applications. In this context, MVTec Software GmbH will present updates to its machine vision software portfolio at HANNOVER MESSE 2026.

Vision software across inspection and automation workflows
MVTec’s software portfolio includes HALCON, MERLIC and the MVTec Deep Learning Tool, covering both traditional rule-based image processing and deep learning-based vision methods.

These tools are used in industrial environments for applications such as high-precision quality inspection, barcode and character recognition, and vision-guided robotics. Such functions are relevant in sectors including electronics manufacturing, automotive production and packaging, where automated inspection and identification support consistent production quality.

By enabling automated visual inspection and identification processes, machine vision software contributes to increased automation levels and improved production transparency. These capabilities support traceability requirements and data integration strategies associated with digital supply chain environments.

Combining rule-based vision and deep learning methods
The software portfolio allows manufacturers to combine deterministic image processing algorithms with neural network-based analysis, depending on inspection requirements and process variability.

Rule-based approaches are typically used in controlled environments with clearly defined inspection parameters, while deep learning methods are applied where product variation or complex visual features require adaptive recognition capabilities.

This combined approach allows machine vision systems to be adapted to different production scenarios, from standardised inspection tasks to more complex classification problems.

Demonstrations planned at HANNOVER MESSE 2026
MVTec plans to present its software portfolio at HANNOVER MESSE, taking place in Hannover, Germany, from April 20 to 24, 2026 (Hall 27, Booth F38).

The exhibition will focus on practical industrial use cases of machine vision software and its role in supporting automation strategies. Demonstrations will address how image processing software can be deployed to improve inspection reliability, support robotic integration and increase operational visibility in automated production systems.

Edited by industrial journalist, Aishwarya Mambet, with AI-assistance.

www.mvtec.com

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