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"Hibikoko" is an AI learning engine designed to detect cracks from images of concrete structures and similar objects. By customizing it according to individual environments, it can cater to various applications. While new learning is required for customization, this product can start with a small amount of training data and iteratively improve detection accuracy. 【Features】 ■ Applies deep learning ■ Automatically detects concrete cracks from images ■ Strongly supports the inspection of concrete structures ■ Capable of identifying crack locations from a large number of images ■ Strong characteristics against surface dirt and changes in lighting conditions *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registration"SENLI" is an engine equipped with artificial intelligence that automatically analyzes surveillance camera footage. It builds AI with a small amount of data, providing strong support for monitoring operations. With ISP's unique anomaly detection AI engine that applies Deep Learning, it can detect significant changes such as "abandonment," "intrusion," "abnormal behavior," and "landslides" through a simple calibration that registers a few patterns of normal states. Even if there are false alarms, normal states can be sequentially added to the registration. It is an AI engine that grows in response to changes in the operational environment. 【Features】 ■ Easy initial setup and learning to start operations ■ Learning is completed by registering a few patterns of normal states ■ Capable of adapting to changes in the operational environment with simple additional learning, a growing AI engine ■ Consistent support from the start of system operations *For more details, please refer to the PDF materials or feel free to contact us.
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Free membership registrationISP's "gLupe" is software for visual inspection that applies Deep Learning. It builds artificial intelligence (AI) from a few normal data samples to detect product defects and abnormalities. Since it does not require the large-scale data collection typically associated with Deep Learning, the implementation costs can be minimized. 【Features】 ■ Software for visual inspection utilizing Deep Learning ■ Learns from only a small amount of normal data ■ Significantly reduces data collection costs ■ Capable of detecting defects that were previously difficult to identify ■ Employs unique technology that allows learning from a small amount of data *For more details, please refer to the PDF document or feel free to contact us.
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