- Forms computer-executable algorithms by using the results of inspection or teaching by human experts.
- Maximizes performance of equipment by using human experts' intelligence and experience.

Experts who cultivate their know-how and senses possess superior problem solving abilities because of their intelligence and experience. The technology of knowledge formation realizes the transformation from human experts' intelligence and experience into computer-executable algorithms.

Recently, machines have been built with increased functionality and performance. For instance, product inspection equipment that uses incredibly accurate sensors such as vision, vibration, etc. are employed in advanced factories. While the equipment has greater potential for inspection performance, it is difficult to maximize its performance without human experts. In other words, performance of such equipment depends on the faculties of human experts. This dependency tends to create serious problems in production quality.

This technology employs advanced techniques such as machine learning to form intelligence and experience into computer-executable algorithms. Knowledge and senses possessed by human experts are turned into algorithms through the utilization of machine learning and other techniques. The extracted algorithm is generalized and optimized to maximize performance of a equipment depending on the context.

Knowledge formation technology aims to provide valuable solutions to our customers for realizing greater customer satisfaction. One of the valuable solutions we are aiming for is maximizing the performance of equipment by applying executable algorithms embodying the wisdom, experience, and know-how of experts.

Knowledge Formation Technology
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