Solar-Powered Deep Learning-Based Recognition System of Daily Used Objects and Human Faces for Assistance of the Visually Impaired

Solar-Powered Deep Learning-Based Recognition System of Daily Used Objects and Human Faces for Assistance of the Visually Impaired

This paper introduces a novel low-cost solar-powered wearable assistive technology (AT) device, whose aim is to provide continuous, real-time object recognition to ease the finding of the objects for visually impaired (VI) people in daily life. The system consists of three major components: a miniat...

Full description

Bibliographic Details
Main Authors: Bernardo Calabrese, Ramiro Velázquez, Carolina Del-Valle-Soto, Roberto de Fazio, Nicola Ivan Giannoccaro, Paolo Visconti
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Energies
Subjects:
assistive technology
convolutional neural networks (CNN)
deep learning
faster R-CNN
mobile computing
object recognition
Online Access:https://www.mdpi.com/1996-1073/13/22/6104

Internet

https://www.mdpi.com/1996-1073/13/22/6104

Similar Items