Title :
Self-learning visual inspection system for cable crimping machines
Author :
Ghidoni, Stefano ; Finottot, Matteo ; Menegatti, Emanuele
Author_Institution :
Dept. of Inf. Eng., Univ. of Padova, Padova, Italy
Abstract :
This paper presents a system for checking connectors while cables are being crimped to them. The system verifies that the wires color sequence is correct: an accurate color analysis technique has then been developed, in order to discriminate between similar colors, and filter noise factors.
Keywords :
cable jointing; cables (electric); crimping; electric connectors; image colour analysis; inspection; production engineering computing; wires (electric); cable crimping machines; color analysis technique; connector checking; noise filtering; self-learning visual inspection system; wire color sequences;
Conference_Titel :
Robotics and Automation (ICRA), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-386-5
DOI :
10.1109/ICRA.2011.5980590
