Revista Elektrón (Jun 2022)

FPGA Algorithm Implementation for Parasitic Analysis

  • Guido Rombolá,
  • Lucas Leiva,
  • Martín Vázquez,
  • Juan Toloza,
  • Federica Sagües,
  • Carlos Saumell

DOI
https://doi.org/10.37537/rev.elektron.6.1.149.2022
Journal volume & issue
Vol. 6, no. 1
pp. 36 – 40

Abstract

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An efficient parasite control reduces significant losses in the agribusiness, but current methods involve costs and delays. Therefore, the development of a portable device to automates this task is proposed. This work presents a hardware implementation of an automatic parasite egg counting algorithm using high-level synthesis. The results demonstrate the feasibility of the implementation, with an 87% accuracy operating at a rate of up to 65 frames per second and an occupation of LUTs less than 45%, considering two commercial kits (PYNQ-Z1 and ULTRA96V2).

Keywords