Ahmet Ö.
Kurumsal
- Thread Author
- #1
## Machine Vision Software in Industrial Automation
Machine vision is increasingly being used in industrial automation to improve inspection, traceability, and robot-assisted processes. Software platforms that combine rule-based image processing and deep learning are expanding application areas.
### Vision Software in Automation and Inspection Processes
MVTec's software portfolio includes HALCON, MERLIC, and MVTec Deep Learning Tool products. These software solutions cover traditional rule-based image processing methods as well as deep learning-based techniques.
They are used in industrial environments for applications such as high-precision quality control, barcode and character recognition, and robotic guidance. In sectors like electronics, automotive, and packaging, automated inspection and identification ensure continuous production quality.
The contribution of automated visual inspection and identification processes to automation increases production transparency. These functions support traceability requirements and data integration in digital supply chain environments.
### Combination of Rule-Based and Deep Learning Methods
Manufacturers can combine descriptive algorithms and neural network-based analyses in the software according to controlled conditions and process variability.
Rule-based methods are generally suitable for controlled environments with clear parameters. Deep learning, on the other hand, is preferred in situations where product variety or complex visual elements require adaptive identification.
This combined method can be adapted to different production scenarios, from standard inspection tasks to complex classification problems.
### Demonstrations at HANNOVER MESSE 2026
MVTec will showcase its software portfolio at HANNOVER MESSE, which will be held in Hannover, Germany, from April 20-24, 2026 (Hall 27, Stand F38).
The fair will feature practical industrial uses of machine vision software and its contribution to automation strategies. Demo presentations will focus on the applications of image processing software in increasing inspection reliability, supporting robot integration, and enhancing operational visibility in automated production systems.
