Neurocle has launched version 4.1 of its deep learning vision inspection software. The Auto Deep Learning algorithm automatically optimizes model architectures and hyperparameters, simplifying the training process and enabling users to develop high-accuracy inspection models without deep learning expertise. The model creation platform (model trainer) Neuro-T, ensures that even complex manufacturing scenarios are addressed with ease. New features at release 4.1 are Patch Classification (PAC) to overcome the limitations of traditional classification models that struggle with high-resolution image data, GAN Patch Mode for situations where defect data is scarce, new shape converter and auto-labeling toolsand expanded Processor Support.
