"HALCON 25.05" compatible workstation

basic information

- Be-Clia Type-TU2-9 equipped with NVIDIA RTX4500 Ada BTO Hardware performance that maximizes the benefits of new features such as Deep Learning Inference Optimizer and acceleration of 3D toolsets. The combination of Ada generation GPU + DDR5 high-speed memory + Core Ultra architecture significantly improves the processing throughput of HALCON. It can also meet on-site implementation requirements such as "high-speed processing of high-resolution camera images," "real-time inference," and "simultaneous processing of multiple cameras." - CERVO Grasta Type-ALIS25WC-W5 equipped with NVIDIA RTX6000 Ada workstation Large-capacity memory and high-bandwidth memory allow for ample parallel processing. In multi-threaded and multi-object processing, the memory bandwidth is less likely to become a bottleneck. Supports deep learning training with RTX 6000 Ada. Both training and inference are accelerated in HALCON's Deep Learning extension module.

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Applications/Examples of results

HALCON Progress Edition 25.05 is an image processing library that is globally utilized in the field of machine vision. The latest version further enhances deep learning-based appearance inspection and defect detection capabilities, with numerous implementations for high-precision appearance inspection and pattern matching in industries such as semiconductors, electronic components, and automotive. Its high-speed and robust processing performance also supports real-time processing on production lines. Additionally, the acceleration of learning and inference through GPU contributes to the efficiency of AI inspections.