An Embedded Real-Time Red Peach Detection System Based on an OV7670 Camera, ARM Cortex-M4 Processor and 3D Look-Up Tables

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ID: 111791
2012
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Abstract
This 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.
Reference Key
teixidó2012sensorsan Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Mercè Teixidó;Davinia Font;Tomàs Pallejà;Marcel Tresanchez;Miquel Nogués;Jordi Palacín;Teixidó, Mercè;Font, Davinia;Pallejà, Tomàs;Tresanchez, Marcel;Nogués, Miquel;Palacín, Jordi;
Journal sensors
Year 2012
DOI
10.3390/s121014129
URL
https://www.mdpi.com/1424-8220/12/10/14129
Keywords
autonomous system real-time embedded system fruit detection lut models

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