DocumentCode :
2909753
Title :
A smart color sensor based on a multi-Fuzzy Inference strategy
Author :
Ando, Bruno ; Ascia, Alberto ; Baglio, Salvatore ; Pitrone, Nicola
Author_Institution :
Catania Univ., Catania
fYear :
2007
fDate :
1-3 May 2007
Firstpage :
1
Lastpage :
5
Abstract :
Color detection task is of main importance in several applications. Available devices suffer for high cost or very specific application area. In this paper, a novel color detector is presented. The device is based on a RGB sensor and a smart signal processing algorithm implemented on a microcontroller architecture. In order to perform a suitable and reliable color identification a fuzzy paradigm has been used which dominates the task complexity. A crisp rule set has been also constructed to implement both the model selection and the fault recover tasks. The device performance has been investigated in terms of failure probability in recognizing color samples and results obtained demonstrated the effectiveness and the reliability of the proposed architecture.
Keywords :
colour; fuzzy reasoning; intelligent sensors; RGB sensor; color detection; color detector; crisp rule set; failure probability; fault recover tasks; fuzzy paradigm; microcontroller architecture; multi-fuzzy inference strategy; smart color sensor; smart signal processing algorithm; Color; Costs; Detectors; Instrumentation and measurement; Intelligent sensors; Microcontrollers; Prototypes; Sensor systems; Signal processing; Signal processing algorithms; RGB detector; color recognition; microcontroller; smart signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE
Conference_Location :
Warsaw
ISSN :
1091-5281
Print_ISBN :
1-4244-0588-2
Type :
conf
DOI :
10.1109/IMTC.2007.379119
Filename :
4258150
Link To Document :
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