Systems and Information Communication Laboratories

Professor Tatsuno

Professor Chujo

LED visible light communication system using a CMOS camera and a 32-bit microcomputer

Millimeter-wave above 30 GHz and lightwave signals do not transmit far as microwave signals used in cellular phone or TV broadcasting. Those frequency signals, however, are expected to be used for large capacity communication or sensor in the short range. We carry out research of phase control and power synthesis of millimeter-wave signals with semiconductor lasers and optical fibers that maximally make use of the features of the lightwave communication technology called wavelength division multiplexing. We also carry out research for optical wireless communication to develop LED parallel visible light communication system that uses a 32-bit microcomputer for real-time processing of images taken with a CMOS camera to distinguish multiple LEDs separately. Furthermore, we continuously analyze signals received from communication satellites in Asia to develop millimeter-wave satellite communication network.

Professor Tsuzuku

Evaluating signal reception environments

I have been involved in system development for terrestrial digital broadcasting, which is the backbone of the Tokyo Skytree broadcasting tower. However, there is still no method for evaluating the reception environment of the radio waves or for properly measuring the frequencies. This laboratory thus strives to contribute to the advancement of terrestrial digital broadcasting by developing new frequency measuring methods and reception environment evaluation methods, and by proving the effectiveness of these. As well, other research involves using solar-powered aircraft for wireless transmission and as base stations for broadcasting.

Associate Professor Hotta

Detecting asbestos (red squares show the asbestos detected automatically)

People have long dreamed for giving computers intelligence like humans. However, since computers can only do what we programmed, they cannot recognize objects when the appearance of objects or the surroundings environment are changed. To realize a computer vision system with high accuracy, I use the knowledge in outside fields such as neuroscience, psychology, statistical physics, and control theory. In addition, I am also interested in new applications such as automatic asbestos detecting in building materials and particle detection in intracellular images.