Deep learning-based machine vision software library released by SUALAB

2017 Innovators Awards Platinum-level honoree SUALAB, a company specializing in smart factory solutions based on artificial intelligence, has released SuaKIT, a deep learning-based machine vision inspection software. SuaKIT is a library based on actual image data generated from various industrial sites which has the primary functions of segmentation and classification. When the software’s deep learning algorithm is taught new images of normal and defective products—at a speed of up to 1,000 2,048 x 2,048 images in 30 minutes—a neural network is used to autonomously identify the values for defects.

Even users without significant coding experience can use the software, as it does not require instance-by-instance coding, but works through self-learning by gathering and entering data on defects, according to the company. SuaKIT is also designed so that, through CUDA (Compute Unified Device Architecture) technology, data can be processed at high speed through a high-performance GPU.

To Learn More:

Contact:SUALAB
Headquarters: Seoul, South Korea
Product: SuaKIT deep learning-based machine vision inspection software
Key Features: Deep learning-based segmentation and classification, can “learn” 1,000 ,2048 x 2,048 images in 5 minutes.

What SUALAB says:
View more information on the software.

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