Version 17.12 of MVTec’s deep learning-enhanced HALCON machine vision software is now officially available. The latest HALCON release includes a range of functions for training convolutional neural networks (CNN). This marks the first time that customers can train CNNs with HALCON based on deep learning algorithms, using sample pictures of their specific application. This, according to the company, will enable users to classify image data easily and precisely, and will drastically reduce programming requirements and save both time and money.
In addition to the deep learning functions, HALCON 17.12 offers other new features, improvements, and revised functions, including the ability to detect defects on reflective surfaces of objects, making it easier to integrate HDevEngine into developers’ application, and an improved automatic text reader, which has become better at detecting and reading letters and numbers that touch each other.
To Learn More:
Headquarters: Munich, Germany
Product: HALCON 17.12 machine vision software
Key New Features: Ability train CNNs with HALCON based on deep learning algorithms, ability to detect defects on reflective surfaces, easier integration of HDevEngine into developers’ applications.
What MVTec says:
View more information on HALCON 17.12.