Abstract
A proposed system consists of a sensor array unit, a signal processing unit, and a neural network unit. The sensor array unit acquires the intensity of an ultrasonic irradiated from transmitter to an object. The signal processing unit picks up a necessary data from the output of the sensor array unit. We used the following parameters for the recognition of shapes and for measurement of both positions and poses of the measured objects; the peak positions, peak values, the value of the inflection points and minimum values of the ultrasound pressure distribution. These values and positions are inputted into the neural network unit for object identification, postion and pose measurement. We designed and built a prototype system, and we tested this system by attempting to identify six objects. The experimental results showed near-perfect object identification and high resolution measurement.
