Robots have played an important role to upgrade many Japanese industries. The technology stress is shifting from manufacturing to services, and new robot application fields such as life care of elderly people is emerging. Several research activities at AIST to produce some forms of "life innovations" are presented focusing on computer vision and imaging technologies.
A ultra-micro chip with almost the same size as neuron cells can stimulate neuron cells and measure their activities in very low invasiveness. Such actions can be interpreted as a communication with living cells and a semiconductor chip, which opens a new door for a bio-abio interface system. We propose a μ-communicator (μ-COM) for such an interface chip and describe the fundamental measurement system for neural activities as well as demonstrating a preliminary experiment of intra-communication inside a mouse brain.
We have developed a prototype compact Super Hi-Vision (SHV) camera head using a 33-M-pixel color CMOS image sensor. This camera head is connected to a camera control unit (CCU) that was developed for the conventional SHV camera system with four 8-M-pixel CMOS image sensors. To downsize the camera head, video signal processing is mainly implemented in the CCU. Further, to ensure compatibility with the conventional CCU, the camera head implements only video format conversion and color correction. A 12-core multimode optical fiber cable is used to transmit the video signal from the camera head to the CCU. The camera head weighs approximately 4kg, and its power consumption is approximately 60W. We plan to develop a practical handy SHV camera based on this prototype camera head.
This paper is written about the multi-core technology toward the high energy efficiency for eco/green society and comfortable human life. Especially, embedded system, for example mobile (smart phone etc.) and automobile (intelligent car navigation) applications, require the advanced signal processing technologies for high speed/low power dissipation. More closed co-operation during device, architecture, signal processing algorithm on the multi-core will provide the next generation embedded system solution.
Smartphones, WEB-PC, with the expansion of coverage Tablet PC, is being steadily built a cloud computing environment. Under this, these devices have a common OS, that correspond to standardized data formats, providing a seamless communication environment. Camera modules are mounted on a standard PC or mobile phone, such as the impact of environmental change is enormous. Increase the number of pixels of the camera module and an increase in the Net PC Smartphone, low profile, and will accelerate the downsizing. This presentation explains how you should run the business planning of the camera module for product planning changes in cloud computing environments.