Signage Recognition System in Open Environments for the Visually Impaired
Sistema de Reconocimiento de Señalamientos en Entornos Abiertos para la Orientación de Personas con Discapacidad Visual
| 2020 | |
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Señalamientos Algoritmo SLIC Redes neuronales convolucionales Ordenador de placa reducida GPS Personas con discapacidad visual Signs SLIC algorithm Convolutional neural networks Simple-board computer GPS People with visual disabilities |
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| Español | |
| Universidad de Montevideo | |
| REDUM | |
| http://revistas.um.edu.uy/index.php/ingenieria/article/view/726 | |
| Acceso abierto | |
| Atribución 4.0 Internacional |
| Sumario: | This work presents the development of a prototype that allows identifying specific signs through artificial vision techniques. It uses an image segmentation stage based on the SLIC superpixel algorithm, followed by a sign recognition and classification stage based on convolutional neural networks and has been implemented in a simple-board computer (SBC). The prototype informs the user of the identification of these signs through an audio message sent to headphones, it has a GPS module that obtains the location where the sign was recognized and is stored to offer the user notifications about nearby signs. The tests were performed with 1: 2 scale signs in open spaces, with natural light. The prototype is intended as a support for visually impaired people to move in open urban environments. Processing times and prototype performance are reported. Although the implementation in the selected simple-board computer makes its use unfeasible due to operating times, the functionality of the system is demonstrated. |
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