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Title: Support system for decision making in the phenotypic Evaluation of brown swiss cattle using image processing and augmented reality
Advisor(s): Alatrista Salas, Hugo; Nuñez del Prado, Miguel
OCDE field: https://purl.org/pe-repo/ocde/ford#1.02.00
Issue Date: 27-Nov-2019
Institution: Pontificia Universidad Católica del Perú
Abstract: To certify the information coming from the registered animals of different breeds and to guarantee their racial purity and contribute to the genetic improvement, we propose the development of a model based on augmented reality and support decision making for identification and automatic classification of Brown Swiss cattle. TensorFlow Object Detection API was used to detect the cow in real time. The learning transfer approach was used for training, and MobilNet pre-trained architecture was selected. MobilNet is an efficient model for mobile applications because it is small in size and fasts. The results were reflected in the development of a mobile app, which was evaluated through the automatic adjustment and calibration of the template on the cow if the animal that was focusing was or was not of the Brown Swiss breed.
Discipline: Informática con mención en Ciencias de la Computación
Grade or title grantor: Pontificia Universidad Católica del Perú. Escuela de Posgrado
Grade or title: Maestro en Informática con mención en Ciencias de la Computación
Register date: 28-Nov-2019



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