Abstract
We present some results from an ongoing project about face detection and recognition in an apparatus wearable by a visually impaired person. Specifically, we explore the usable equipment and we experiment on the realization of three prototypes that give the opportunity of dealing with different topics, ranging from the architecture of the network to database creation, from the reliability of the identification results to real-time operation issues.
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Acknowledgements
This work is supported by the University of Trieste—Finanziamento di Ateneo per progetti di ricerca scientica—FRA 2016, and by a private donation in memory of Angelo Soranzo (1939-2012). The authors also thank Eugenio Culurciello and Alfredo Canziani for kindly providing the basenet, and Marko Vitez for the thnets library.
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Bhattacharya, J., Guzzi, F., Marsi, S., Carrato, S., Ramponi, G. (2019). Real-Time DNN-Based Face Identification for the Blind. In: De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2017. Lecture Notes in Electrical Engineering, vol 512. Springer, Cham. https://doi.org/10.1007/978-3-319-93082-4_16
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DOI: https://doi.org/10.1007/978-3-319-93082-4_16
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