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dc.contributor.authorTeixidó Cairol, Mercè
dc.contributor.authorFont Calafell, Davinia
dc.contributor.authorPallejà Cabrè, Tomàs
dc.contributor.authorTresánchez Ribes, Marcel
dc.contributor.authorNogués Aymamí, Miquel
dc.contributor.authorPalacín Roca, Jordi
dc.description.abstractThis work proposes the development of an embedded real-time fruit detection system for future automatic fruit harvesting. The proposed embedded system is based on an ARM Cortex-M4 (STM32F407VGT6) processor and an Omnivision OV7670 color camera. The future goal of this embedded vision system will be to control a robotized arm to automatically select and pick some fruit directly from the tree. The complete embedded system has been designed to be placed directly in the gripper tool of the future robotized harvesting arm. The embedded system will be able to perform real-time fruit detection and tracking by using a three-dimensional look-up-table (LUT) defined in the RGB color space and optimized for fruit picking. Additionally, two different methodologies for creating optimized 3D LUTs based on existing linear color models and fruit histograms were implemented in this work and compared for the case of red peaches. The resulting system is able to acquire general and zoomed orchard images and to update the relative tracking information of a red peach in the tree ten times per second.ca_ES
dc.publisherMolecular Diversity Preservation International (MDPI)ca_ES
dc.relation.isformatofReproducció del document publicat a:
dc.relation.ispartofSensors, 2012, vol. 12, núm. 10, p. 14129-14143ca_ES
dc.rightscc-by, (c) Teixidó et al., 2012ca_ES
dc.subjectReal-time embedded systemca_ES
dc.subjectAutonomous systemca_ES
dc.subjectFruit detectionca_ES
dc.subjectLUT modelsca_ES
dc.subject.otherImatges -- Processamentca_ES
dc.subject.otherRobots mòbilsca_ES
dc.titleAn embedded real-time red peach detection system based on an OV7670 camera, ARM Cortex-M4 processor and 3D Look-Up Tablesca_ES

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cc-by, (c) Teixidó et al., 2012
Except where otherwise noted, this item's license is described as cc-by, (c) Teixidó et al., 2012