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Guiding Device for the Visually Impaired using Artificial Intelligence Category: Engineering and Technology

JSHS · 2020

Axel S. Toro Vega · Dr. Carlos González High School Aguada, Puerto Rico

Overview

Yamitza Rosas Blindness is the third most common disability in the world, around 36 million people are blind (Bourne RRA et al, 2017), ranging from total blindness to 20/200 visual acuity. The investigation’s engineering goal is the development of a device for assisting the visually impaired in having a healthier, safer, and more enjoyable lifestyle, using Artificial Intelligence and Ultrasonic technology to identify and classify obstacles in a safe and interactive way. A Raspberry Pi Microcomputer uses a camera to capture what is in front of the user, then uses a C+ + program to send the images to an AI Cloud Service, where it passes though segmentation, characteristics extraction and final image classification. The AI returns a JSON response, containing the image classification labels and a percentage of certainty. The user is notified of the object classification using text-to-speech technology. The device measures distance using ultrasonic sensors, notifying the user of nearby obstacles using text-to-speech. 3D-printed supports secure the components on some glasses, maintaining the best position for obstacle detection. During the various tests conducted, the device correctly identified and classified obstacles in front of the user, with the most accurate classifications being in the top three labels, while notifying the user in a time of less than 5 seconds per image. The research’s current phase includes incorporating a voice user interface for an interactive experience, as well as integrating process management and for king to assure efficient and fail-safe operation of the device.

Awards (1)

  • 2nd Place Engineering & Technology

Competition history

  • JSHS 2020 Category not listed

Resources

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Source: Junior Science and Humanities Symposium

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