HW/SW Co-'esign for Dates Classification on Xilinx Zynq SoC

Ahmed Chiheb Ammari, Lazhar Khriji, Medhat Awadalla

نتاج البحث

1 اقتباس (Scopus)

ملخص

This paper proposes HW/SW Co-design of an automatic classification system of Khalas, Khunaizi, Fardh, Qash, Naghal, and Maan dates fruit varieties in Oman. The system implements pre-processing, segmentation of the colored input images, color and shape-size features extraction followed by ANN-tansig classification. The performance of the proposed system is experimented and 97.26% highest classification accuracy are achieved. The proposed system is prototyped using a selected Zynq 7020 SoC platform featuring, on the same chip, a dual-core ARM Cortex A9 processing System (PS) interconnected with FPGA logic (PL) though high-throughput communication channels. The original classification algorithm is profiled and then a HW/SW Co-design is developed achieving 10.9 fps real time classification performance. This performance is acceptable and represents almost 14 times speedup acceleration comparatively to the original program implementation.

اللغة الأصليةEnglish
عنوان منشور المضيفProceedings of the 26th Conference of Open Innovations Association FRUCT, FRUCT 2020
المحررونSergey Balandin, Ilya Paramonov, Tatiana Tyutina
ناشرIEEE Computer Society
الصفحات10-15
عدد الصفحات6
رقم المعيار الدولي للكتب (الإلكتروني)9789526924427
المعرِّفات الرقمية للأشياء
حالة النشرPublished - أبريل 2020
الحدث26th Conference of Open Innovations Association FRUCT, FRUCT 2020 - Yaroslavl
المدة: أبريل ٢٣ ٢٠٢٠أبريل ٢٤ ٢٠٢٠

سلسلة المنشورات

الاسمConference of Open Innovation Association, FRUCT
مستوى الصوت2020-April
رقم المعيار الدولي للدوريات (المطبوع)2305-7254

Conference

Conference26th Conference of Open Innovations Association FRUCT, FRUCT 2020
الدولة/الإقليمRussian Federation
المدينةYaroslavl
المدة٤/٢٣/٢٠٤/٢٤/٢٠

ASJC Scopus subject areas

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