DocumentCode :
127417
Title :
Real-time classification of industrial products based on the photonic-mixer-device sensor technology
Author :
Hussmann, Stephan ; Sandner, Jorn
Author_Institution :
Fac. of Eng., West Coast Univ. of Appl. Sci., Heide, Germany
fYear :
2014
fDate :
18-20 Feb. 2014
Firstpage :
267
Lastpage :
271
Abstract :
During the last years, Time-of-Flight sensors achieved a significant impact onto research fields in machine vision. In comparison to stereo vision system and laser range scanners they combine the advantages of active sensors providing accurate distance measurements and camera-based systems recording a 2D matrix at a high frame rate. Moreover low cost 3D imaging has the potential to open a wide field of additional applications and solutions in markets like consumer electronics, multimedia, digital photography, robotics and medical technologies. This paper focuses on the classification task of typical industrial products in the close-up range. A new approach due to the use of the photonic-mixer-device (PMD) sensor technology is presented which achieves a much simpler real-time classification. Experimental results show that the proposed approach is well suited for machine vision applications.
Keywords :
computer vision; distance measurement; image classification; mixers (circuits); optical sensors; real-time systems; distance measurements; industrial products; machine vision applications; photonic-mixer-device sensor technology; real-time classification; Cameras; Logic gates; Modulation; Optical imaging; Optical sensors; Real-time systems; Robot sensing systems; Phase measurement; k-nearest neighbour classification; optical distance measurement component; phase-shift algorithm; photonic mixer devices (PMD); time-of-flight (TOF);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors Applications Symposium (SAS), 2014 IEEE
Conference_Location :
Queenstown
Print_ISBN :
978-1-4799-2180-5
Type :
conf
DOI :
10.1109/SAS.2014.6798959
Filename :
6798959
Link To Document :
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