Burlamaqui, Aquiles Filgueira de MedeirosBenjamim, Xiankleber Cavalcante2014-12-172013-04-242014-12-172012-07-30BENJAMIM, Xiankleber Cavalcante. Identificação Visual de Caixas de Medicamentos Usando Features Correspondentes. 2012. 61 f. Dissertação (Mestrado em Automação e Sistemas; Engenharia de Computação; Telecomunicações) - Universidade Federal do Rio Grande do Norte, Natal, 2012.https://repositorio.ufrn.br/jspui/handle/123456789/15455This work uses computer vision algorithms related to features in the identification of medicine boxes for the visually impaired. The system is for people who have a disease that compromises his vision, hindering the identification of the correct medicine to be ingested. We use the camera, available in several popular devices such as computers, televisions and phones, to identify the box of the correct medicine and audio through the image, showing the poor information about the medication, such: as the dosage, indication and contraindications of the medication. We utilize a model of object detection using algorithms to identify the features in the boxes of drugs and playing the audio at the time of detection of feauteres in those boxes. Experiments carried out with 15 people show that where 93 % think that the system is useful and very helpful in identifying drugs for boxes. So, it is necessary to make use of this technology to help several people with visual impairments to take the right medicine, at the time indicated in advance by the physicianapplication/pdfAcesso AbertoHealth. Feature. Identificação de Caixas de MedicamentoHealth. Feature. Identification of Medicine BoxesmasterThesisCNPQ::ENGENHARIAS::ENGENHARIA ELETRICA