An Ultrasonic Multielement Sensor System for Position Invariant Object Identification

Conference contribution

Publication Details

Author(s): Vossiek M, Magori V, Ermert H
Title edited volumes: Proceedings of the IEEE Ultrasonics Symposium
Publisher: IEEE
Publishing place: Piscataway, NJ, United States
Publication year: 1994
Volume: 2
Conference Proceedings Title: IEEE International Ultrasonics Symposium
Pages range: 1293-1297
ISSN: 1051-0117
Language: English


This paper describes an ultrasonic sensor system for application in air that is capable of recognizing workpieces with size up to 20 mm, independently of their position and orientation, with high reliability. The 4x4 Transducer Matrix signals are first processed with a simplified reconstruction algorithm that leads to position invariant axial profiles of the object reflectivity. A broadband holographic reconstruction is then performed for those object planes that are reflecting the main signal energy. The Zernike Moments of the resulting cross-sectional patterns and features of the reflectivity profiles are fed in a 3-layered perceptron network. The system has been tested with a set of measuring data from 25 typical workpieces. Even though some objects have very similar reflection properties, it is possible to identify the objects in an area of 25x25 mm2 independently of their position and orientation with a recognition rate higher than 99%.

FAU Authors / FAU Editors

Ermert, Helmut Prof. Dr.-Ing.
Lehrstuhl für Sensorik
Vossiek, Martin Prof. Dr.-Ing.
Lehrstuhl für Hochfrequenztechnik

How to cite

Vossiek, M., Magori, V., & Ermert, H. (1994). An Ultrasonic Multielement Sensor System for Position Invariant Object Identification. In IEEE International Ultrasonics Symposium (pp. 1293-1297). Cannes, France: Piscataway, NJ, United States: IEEE.

Vossiek, Martin, V. Magori, and Helmut Ermert. "An Ultrasonic Multielement Sensor System for Position Invariant Object Identification." Proceedings of the Proceedings of the 1994 IEEE Ultrasonics Symposium. Part 1 (of 3), Cannes, France Piscataway, NJ, United States: IEEE, 1994. 1293-1297.


Last updated on 2018-18-10 at 21:00