Recently, deep learning based object recognition systems are very widely used in various fields, including surveillance systems. The accuracy of object recognition based on deep learning is better than other schemes. In this paper, we propose a wearable device for the blind by using deep learning based object recognition. Based on the implemented prototype and evaluation results, we confirmed the usefulness and effectiveness of the proposed wearable device.
CITATION STYLE
Kim, B., Seo, H., & Kim, J. D. (2018). Design and implementation of a wearable device for the blind by using deep learning based object recognition. In Lecture Notes in Electrical Engineering (Vol. 474, pp. 1008–1013). Springer Verlag. https://doi.org/10.1007/978-981-10-7605-3_161
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