Francisco Luis GiambellucaUniversidad Nacional de La Plata | UNLP · Departamento de Electrotecnia
Francisco Luis Giambelluca
PhD Eng. in Electronics
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Citations since 2017
9 Research Items
Artificial inteligence aplied to digital image processing
Aplicación cuyo fin es ayudar a identificar serpientes de toda la provincia de Buenos Aires, Argentina (link al final). Esta app actúa como una guía de campo, la cual se puede utilizar de manera totalmente offline y no requiere registro para su uso. https://play.google.com/store/apps/details?id=com.Dr_Ing_Francisco_Giambelluca.serpientesbonaerens...
In this paper, automatic and real-time systems were developed to detect and classify two different genera of scorpions using computer vision and deep learning techniques, with the purpose of providing a prevention tool. The images of scorpions were obtained from an arachnology laboratory in Argentina. YOLO (you only look once) and MobileNet models...
In this work, a fully automatic and real-time system for the detection of scorpions was developed using computer vision and deep learning techniques. This system is based on the implementation of a double validation process using the shape features and the fluorescent characteristics of scorpions when exposed to ultraviolet (UV) light. The Haar Cas...
In this paper, two novel automatic and real-time systems for the detection and classification of two genera of scorpions found in La Plata city (Argentina) were developed using computer vision and deep learning techniques. The object detection technique was implemented with two different methods, YOLO (You Only Look Once) and MobileNet, based on th...
All species of scorpions have the ability to inoculate venom, some of them even with the possibility of killing a human. Therefore, early detection and identification is essential to minimize scorpion stings. In this paper, we propose a novel automatic system for the detection and recognition of scorpions using computer vision and machine learning...
PhD with artificial intelligence applied to digital image processing for practical purposes of object detection and recognition