The information processing capabilities of this technology is now approaching those of human sight, and is even capable of processing certain types of information that human eyes are unable to perceive. Thanks to the development of outstanding new software algorithms, image information processing has been accelerated, and program sizes reduced. In addition, we are working to expand the range of devices into which our vision sensors can be installed.

This technology allows human knowledge to be transferred to machines. It involves translating the know-how, wisdom, experience, and sensibilities of expert human beings into algorithms that computers are capable of executing and applying, and then exploiting the knowledge acquired by computers in this way in networks.

This technology is being used to create brighter LCD screens for mobile devices such as mobile phones. The technology entails engraving ultra-precise micrometer and nanometer level relief patterns on to the surface of metal molds, and then using these as master molds from which production-use resin molds are created. Using these resin molds not only makes it possible to mass-produce ultra-precisely patterned devices but also reduces production costs.

This is one of the technologies that will play an increasingly central role in the creation of networks of autonomous sensors. MEMS are minute devices with three-dimensional structures that are fabricated using the same processes as semiconductors. It is hoped that connecting components such as sensors to MEMS will bring about new unprecedented capabilities and great enhancements in these components.

*MEMS (Micro-Electro-Mechanical Systems)