CNN based Auto-Assistance System as a Boon for Directing Visually Impaired Person

World Health Organization (WHO) outlined that there are two eighty five million visually disabled worldwide. Among them thirty nine million people are completely blind. One of the difficult activities that could be conducted by visually impaired is obstacle detection which could be implemented using...

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Vydané v:	2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) s. 235 - 240
Hlavní autori:	Shah, Samkit, Bandariya, Jayraj, Jain, Garima, Ghevariya, Mayur, Dastoor, Sarosh
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.04.2019
Predmet:	Classification algorithms Convolution Convolutional Neural Network Deep Learning Feature extraction Haar Cascade Kernel Machine Learning Machine learning algorithms Object classification Object detection Training
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