Sensors are the front end devices for information acquisition from the natural and/or artificial world. Higher performance of advanced sensing systems is achieved by using various types of machine intelligence. Intelligent sensors are smart devices with signal processing functions shared by distributed machine intelligence.

Typical examples of intelligent sensors are the receptors and dedicated signal processing systems of the human sensory systems. The most important job of information processing in the sensory system is to extract necessary information from the receptors signals and transmit the useful information to the brain. This dedicated information processing is carried out in a distributed manner to reduce the work load of the brain. The processing also lightens the load of signal transmission through the neural network, the capacity of which is limited.

Although the performance of the receptors in our human sensory system is not always ideal and is frequently inferior to that of man-made sensors, the total performance is usually far superior to those of our technical sensing systems. The weak points of human receptors are masked by the information processing. This processing makes our sensory system adaptable to the environment and optimizes system performance.

The basic idea of this book, which contains new computing paradigms, is that the most advanced intelligent sensing system is the human sensory system. Section I reviews the technologies of intelligent sensors and discusses how they developed. Typical approaches for the realization of intelligent sensors emphasizing the architecture of intelligent sensing systems are also described. In section II, fundamental technologies for the fabrication of intelligent sensors and actuators are presented. Integration and micro-miniaturization techniques are emphasized. Section III presents advanced technologies approaching human sensory systems, these technologies are not directly aimed at practical applica

Table of Contents

1. What are the Intelligent Sensors (H. Yamasaki). 2. Fundamental Technologies for Intelligent Sensors. 2.1 Computational sensors (J.v.d. Spiegel). 2.2. Intelligent materials (H. Yanagida). 2.3. Micro machining (S. Shoji, M. Esashi). 2.4. 3-dimensional integrated circuits (T. Kurokawa). 2.5. Image processors and DSP (T. Yamaguchi). 2.6. Biosensors for molecular identification (M. Aizawa). 2.7. Adaptive sensor system (K. Oka). 2.8. Micro actuators (H. Fujita). 3. Intelligent Sensing Systems toward Sensory Systems. 3.1. Intelligent three-dimensional world sensor with eyes and ears (S. Ando). 3.2. Auditory system (K. Takahashi). 3.3. Tactile system (M. Ishikawa, M. Shimojo). 3.4. Olfactory system (M. Kaneyasu). 3.5. Echo location system (W. Mitsuhashi). 4. Integrated Intelligent Sensors. 4.1. High-precision micromachining technique and high integration (I. Igarashi). 4.2. Integrated magnetic sensors (K. Maenaka). 5. Intelligent Sensing System in Industrial Applications. 5.1 Intelligent sensors in process instrumentation (K. Harada). 5.2. Fault detection system (T. Inari). 5.3. Visual inspection systems (K. Edamatsu). 5.4. Olfactory system using neural network (T. Nakamoto, T. Moriizumi). 6. Topics related Intelligent Sensing Systems. 6.1. Sensor signal fusion: the state of the art (M. Ishikawa). 6.2. Intelligent visualizing systems (Y. Hiranaka).


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© 1996
Elsevier Science
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