Browsing by Autor "Faruk Abedrabbo"

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Tomato classification with YOLOv8: Enhancing automated sorting and quality assessment
(2025) Viviana Moya; Michael Guerra; Karina Pazmiño; Faruk Abedrabbo; Fernando A. Chicaiza; David Pozo
This study presents the design and implementation of an automated system for sorting and measuring kidney tomatoes using a YOLOv8 model with a size estimation algorithm. The proposed system integrates computer vision and deep learning with a physical sorting mechanism to categorize tomatoes into three classes: green, red, and damaged, while also determining their size. The classification model was trained on a dataset of 2,145 images of tomatoes taken from different sources and lighting conditions to enhance performance during training. The implemented prototype consists of a conveyor belt equipped with sensors and a high-resolution camera to capture and analyse tomato characteristics in real-time. A servo-driven sorting mechanism then directs the classified tomatoes into their respective bins. Experimental validation and testing show that the model achieves a classification accuracy of 99.6% and a size estimation accuracy of 97.1%, aiding in a reliable and efficient post-harvest sorting process. The proposed system not only reduces the probability of human error but also improves the precision of tomato classification. Future developments will focus on refining and adapting existing AI methodologies to improve their effectiveness in agricultural environments. This includes enhancing model robustness, improving classification accuracy under real-world conditions, and tailoring AI tools to better meet the demands of industrial tomato sorting. • An automated system uses YOLOv8 to classify and sort kidney tomatoes efficiently. • The model achieves 99.6% classification and 97.1 • Computer vision with a sorting mechanism automates tomato classification. • A servo mechanism sorts tomatoes into bins, reducing errors and boosting efficiency. • The system has a conveyor, sensors, and a high resolution camera for real-time analysis.
Tornillos ortopédicos fabricados a partir de hueso bovino liofilizado: un procedimiento para su implantación
(Universidad Nacional Mayor de San Marcos, Vicerectorado de Investigacion, 2020) Faruk Abedrabbo; Fabio Arturo Rojas M.; Oscar J. Benavides O.
El presente trabajo se basó en la fabricación y pruebas para implantar tornillos ortopédicos descritos en la norma ISO 5835:1991 y fabricados a partir de hueso bovino liofilizado, mediante la comparación con el proceso comúnmente utilizado por cirujanos para implantar tornillos metálicos comerciales. Se presenta un procedimiento para implantar los tornillos de hueso liofilizado describiendo las etapas básicas: hidratar el tornillo en solución, evitar cualquier tipo de flexión en el tornillo por parte del cirujano, roscar el agujero por varias ocasiones con la ayuda del machuelo y limpiar el agujero para poder insertar el tornillo con la ayuda del torquímetro médico. Este procedimiento se verificó al implantar un tornillo como parte de la fijación de implantes de fascia lata, para la reparación extraarticular de ruptura de ligamento cruzado anterior en un paciente canino y un felino. Se tuvo como resultado una osteointegración total de los implantes óseos utilizados.