AI Deep-Learning Vision Software

Making deep-learning vision technology more accessible

[INQ. NO. 2505M07] Founded in 2019, Neurocle Inc. is a specialized AI deep-learning vision software company with the mission of making deep-learning vision technology accessible to everyone.
At the core of Neurocle’s innovation is its proprietary Auto Deep Learning Algorithm, which optimizes model architecture and hyperparameters automatically to generate high-performance deep-learning models with ease.
Recognized for its technological excellence, Neurocle’s solutions have been widely adopted across various manufacturing sectors, including automotive, semiconductors, batteries, food, and steel. Backed by over 800 completed projects and a customer base of more than 600 companies, Neurocle brings extensive field experience to every deployment.

Advanced auto deep-learning vision software ‘Neuro-T’
Neuro-T is advanced AI deep-learning vision software powered by an auto deep-learning algorithm, designed to enable even non-experts to create high-performance deep-learning models without any coding experience.
Neuro-T is equipped with nine different deep-learning models — including Classification, Segmentation, and Object Detection — offering the flexibility to address a wide range of inspection challenges.
Neuro-T features fully automated AI labeling tools, such as the Auto-Selector and Keyword Labeler, which significantly reduce the time and effort required to build deep-learning models.
Neuro-T provides an integrated inference center that predicts and validates the performance of flowchart-based models before deployment, ensuring reliable results during the proof of concept (POC) phase.

Runtime library for real-time inspection ‘Neuro-R’
Neuro-R is a runtime library that enables the rapid deployment of inspection models — created with Neuro-T — directly to manufacturing sites. Neuro-R ensures fast and stable operation across a wide range of devices, from low-spec devices to high-performance GPUs.
Neuro-R analyzes real-time images and videos captured by cameras to detect and address any issues on the production line. It excels at detecting defects that are difficult to spot with the naked eye or traditional vision solutions, ensuring fast, accurate, and consistent quality control.

 
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