The software capabilities span the entire vision inspection workflow, powered by its core technology: Auto Deep Learning. This algorithm automatically optimizes model architectures and hyperparameters, simplifying the training process and enabling users to develop high-accuracy inspection models without deep learning expertise.
Our model creation platform, Neuro-T, boasts 9 different Auto Deep Learning models and provides useful features for the entire deep learning vision inspection process, from image labeling to model deployment. Additionally, it ensures that even complex manufacturing scenarios are addressed with ease. Here are the features included in the new Neuro-T version 4.1:
- Patch Classification (PAC): One feature is the introduction of the PAC model, designed to overcome the limitations of traditional classification models that struggle with high-resolution image data. Previously, resizing high-resolution images for analysis often led to a loss in detecting defects. This model segments high-resolution images into smaller patches, ensuring that even the tiniest defects are accurately detected without compromising on resolution.
- GAN Patch Mode: For situations where defect data is scarce, Neurocle has enhanced its Defect Generator (GAN) model capabilities. The new GAN Patch mode slices images into patches to generate more precise synthetic defect images. This advancement facilitates the adoption of deep learning inspection in manufacturing environments with limited initial defect data, reducing the burden of data collection and accelerating the implementation of deep learning-based inspection systems.
- Shape Converter and Auto-Labeling Tools: The Shape Converter and Auto-Labeling tools provide solutions for meticulous labeling tasks. The converter transforms box labeling areas into detailed polygon shapes with a single click, while the labeling tool applies consistent labeling standards across all images after labeling just a few samples.
- Expanded Processor Support: With support for Openvino, DirectML, GPU, CPU, NPU, and embedded boards, the software is capable of integrating into various manufacturing inspection setups.
www.neuro-cle.com