2025-10-282020IEEE Congreso Bienal de Argentina, 2020.https://hdl.handle.net/20.500.12272/14071This paper presents a custom solution implementation to automate the calculation of the Trypanosoma cruzi parasites present in a blood smear. The process to determine parasitaemia, or parasites presence in the fresh drop sample, is performed by a software application developed with Python and OpenCV libraries having a Raspberry Pi board for execution environment with a digital camera connected for video capture from an optical microscope. The software implements image processing techniques and the algorithm was approved; allowing a considerable saving of time in the evaluated blood samples processing; increasing the accuracy of the parasite count. Additionally, a cloud multimedia database is integrated with the solution to store images, videos and data associated with parasitaemia results per each sample.pdfeninfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/ParasistaemiaChagas TeatementsDigital umages processing automationOpenCVinfo:eu-repo/semantics/articleCenteno, Carlos; Voos, Javier; Salamero, Martín Alejandro; Donet, Luis; Dogliani, Matías;Casasnovas, Santiago; Osimani, César; LoPresti, Silvina.https://creativecommons.org/licenses/by-nc-nd/4.0/10.1109/ARGENCON49523.2020.9505494