HEAD - YOLO Software

Advanced Helminth Eggs Detection

The duo formed by the HEAD-YOLO Software, a combination of the Software for the Automatic Detection of Helminth Eggs (HEAD) and the latest version of the You Only Look Once (YOLO) neural network, allows the identification and quantification of image patterns that serve to detect the objects for which they were trained. Its installation and application is performed locally on a personal computer running Windows.

At the same time, HEAD has the advantage of eliminating the main source of errors that affect the reliability of helminth eggs detection, leading to more accurate results and a better monitoring of the quality of different environmental samples as well as the performance of treatment processes.

As a result, the use of HEAD reduces analytical costs, and renders accessible to a wider community the prompt and reliable detection of helminth eggs. HEAD-YOLO is an image processing software that identifies and quantifies nine species of helminth eggs.

They were selected for their medical importance and frequency in environmental samples such as wastewater, sludge, biosolids, soil, and excreta. Among these species are: Ascaris spp., Infertile Ascaris, Toxocara spp., Taenia spp., Hymenolepis diminuta, Hymenolepis nana, Trichuris spp. or Calodium hepaticum, Schistosoma spp., and Fasciola hepatica.

How It Works

  • 1

    Image Input and Processing

    Load an image for analysis. The system utilizes several sophisticated image-processing algorithms to analyze the image.

  • 2

    Identification and Counting

    System identifies and sums up the helminth eggs for every processed image

  • 3

    Output Delivery

    Users receive comprehensive results, including the total egg count and the count by species.

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Techincal Information

HEAD-YOLO Software is a digital image processing system created in C# language using the .NET Framework 6.0 environment, and the latest version of the YOLO neural network.

It is an image processing Software developed to run on Windows operating system.

The operating requirements are described in the following sections.

System Requirements

  • Operating System: Windows 8 or higher
  • .NET Framework 6.0 environment
  • Processor: Intel or AMD 64 Bit at 1 GHz
  • Memory (RAM): 3.4 GB RAM
  • Storage: 1.6 GB of free disk space

Program Overview

  • With the duo HEAD-YOLO, the program delivers two types of results, the first, the images with the prefix “Processed”, where the helminths eggs are classified, and the second, an Excel file containing the total of eggs for each of the nine species.

Supported image formats

  • BMP, JPEG, JPG & PNG

Species identified

  • Ascaris spp. (fertile and infertile)
  • Trichuris trichiura
  • Toxocara canis
  • Taenia saginata
  • Hymenolepsis diminuta
  • Hymenolepsis nana
  • Schistosoma mansoni
  • Fasciola hepatica
  • Fasciolopsis buski