The real world we are living in is structured by parallel, realtime architecture.
This principle applies, not only to machine systems incluidng image sensor, robotics or automotives, but also to intangible systems such as social and psychological phenomenon. The effort to replicate those architectures by engineered methods would help us understanding the real world deeper, and moreover, developing better systems than existing ones. "Better System" means safer, more comfortable, and more efficient systems that make all of human beings happier.
We are going to develop the super-high-speed, super-parallel, real-time image processing technology to build "Better Systems" in the following four categories.
Dynamic Image Control
Unlike conventional computers, human brains own a high level of adaptability. This is because brain is an open system that receives information of external world through various sensory organs and works on external world through various motor functions. Through interaction with the external world, it continuously improves the capacities to adapt and learn.
Sensor Fusion is a domain where we strive to develop industrial brain-form systems that integrate data coming from multiple, various kinds of sensing devices to abstract information, which is not possible to obtain through only single sensor.
We will focus on “hands”, the most important motor function of humans, and will build high-speed, high-function robot hand system that significantly outstrips humans’ or conventional robots’.
Dynamic Image Control (DIC) is a technology to show dynamic phenomea with various physical properties to human in comprehensible and intelligible way. Many dynamic phenomena in real world have immoderate characteristics that preven human from clear understanding. For instance, we can't wee a pattern on flying bee wing, flowing red blood cell in vein, nor printed pattern on whacked golf ball dropping onto a fairway. This difficulty is due to a relatively slow frame-rate of conventional imaging system that permit the object's dynamics superimposed onto the interested image.
DIC modulates images by controlling optics, illuminations and signal processing so as to output adequate for a given purpose. The purpose of the development in this domain is to creating epoch-making media technology. Followings are supposed application fields.
・Biometrics Instruments, Microscopy
・Visual Instruments, Media Technology
・Factory Automation, Human Interface.
In real world, multiple objects are simultaneously moving in random direction at various velocities. In order to capture all of them, reassemble the real image, and respond in real time, the Imaging System is required to push its performance to the limit.
Moreover, it is critial to put in place an Application-Oriented Technology Directions rooted in the sophisticated relationship among application, principle, and device. In this process, we visualize a concept of the new application first, then work out a principle and design devices that enables the application and maximize the value of it.
Based on the philosophy described above, in Vision Architecture domain, we reassemble images of real world, with leveraging super-fast, super-parallel image processing techniques that significantly outperform human’s capacity, aiming to abstract images that are not visible under conventional circumstances.
It is true that human cognitive capacity to process information gathered by the senses is inherently limited. Therefore, technologically mediated sensory manipulation, if properly implemented, can alter perception or even generate completely new forms of perception.
Meanwhile, machine perception has its own limitations such as recognition of self-perception, social perceptions, and emotional expressions.
Meta Perception is a technology domain where we strive to create new ways of comunication between human and machines, through letting technology supplement human perception and capturing and handling information that machines have not been able to handle. The subject leverages not only intelligent sensors and systems technology, but also perspectives from fields such as augmented reality, human-computer interaction, media art, neurophysiology, and ethics.