Revista ELECTRO
Vol. 42 – Año 2020
Artículo
TÍTULO
Identificador de Tortugas en Desove en Sitio
AUTORES
José Ignacio Vega Luna, Mario Alberto Lagos Acosta, Gerardo Salgado Guzmán, Francisco Javier Sánchez Rangel, José Francisco Cosme Aceves, Víctor Noé Tapia Vargas
RESUMEN
En este trabaj o se presenta un sistema de identificación de caparazones de tortugas en desove. El objetivo fue agilizar la colecta de huevos registrando en una base de datos las coordenadas geográficas de la ubicación de desoves para prevenir saqueos. El sistema identif ica los caparazones y huevos de tortugas con una cámara modelo Pixy2 por sus patrones geométrica, se registran midiendo la variación de temperatura en el desove usando una cámara térmica infrarroja. Un vehículo robótico transporta las cámaras en zonas cost eras de playas del Golfo de México, recorri endo área s de desove. Para cada tortuga identificada se registra la hora, fecha y coordenadas de ubicación. El sistema captura y almacena la geolocalización, procesa las imágenes y realiza el control del vehículo robótico usando un microcontrolador embebido Raspberry Pi 2. Se lograron exactitudes del 96.5% en la determinación de las coordenadas y 87% en la identificación de tortugas.
Palabras Clave: cámara térmica infrarroja, desove, Pixy 2, Raspberry Pi 2, tortugas.
ABSTRACT
This paper presents a spawning turtle shell identification system. The objective was to speed up the collection of eggs by registering the geographical coordinates of the spawning location in a database to prevent looting. The system identifies the shells and eggs of turtles with a Pixy2 model camera for their geometric patterns, they are recorded by measuring the temperature variation in spawning using an infrared thermal camera. A robotic vehicle transports the cameras in coastal areas of beaches of the Gulf of Mexico, cross ing spawning areas. For each identified turtle, the time, date and location coordinates are recorded. The system captures and stores the geolocation, processes the images and performs the control of the robotic vehicle using a Raspberry Pi 2 embedded micro controller. Accuracies of 96.5% were achieved in determining the coordinates and 87% in the identification of turtles.
Keywords: infrared thermal camera, Pixy2, Raspberry Pi 2, spawning, turtles.
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CITAR COMO:
José Ignacio Vega Luna, Mario Alberto Lagos Acosta, Gerardo Salgado Guzmán, Francisco Javier Sánchez Rangel, José Francisco Cosme Aceves, Víctor Noé Tapia Vargas, "Identificador de Tortugas en Desove en Sitio", Revista ELECTRO, Vol. 42, 2020, pp. 196-201.
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