A functional design for smart glasses for low vision people that provides visual assistance based on various image processing technologies

Jeong, Incheol; Lee, Jongwon; Lee, Dayeon; Nuralievich, Mukhamadiyev Abdinabi; Kim, Jungyoon; Cho, JinSoo

doi:10.1109/iceic54506.2022.9748188

Cited by 1 publication

(1 citation statement)

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“…The signal from the sensor is given to the Raspberry Pi which is then co related to the camera data to detect the obstacle. The camera then feeds the image to the trained neural network after preprocessing which will detect the type of obstacle in front of the blind person and return the results [10], [11]. The image data acts as an input data for determination of the type of obstacle in front of the blind person using sensor fusion when the obstacle is in the proximity [12], [13].…”

Section: Introductionmentioning

confidence: 99%

An innovative smart glass for blind people using artificial intelligence

Gollagi¹,

Bamane

Patil

et al. 2023

IJEECS

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<p>The "Smart Glasses" are made to make it easier for blind persons to read and decipher written English-language content. A blind people find it exceedingly challenging to travel alone, and they run the danger of getting lost and regular sticks won't allow the person to go around independently in public without things growing worse. The objective of our work is to help blind people communicate more easily by developing a smart assistive glasses using artificial intelligence. The function of the glasses is to read out any text picture as audio text, which can then be heard through a headset attached to the spectacles. OpenCV, optical character recognition and efficient and accurate scene text (EAST) detector were used to identify the text in the image; ultrasonic sensor in the glasses is used to calculate the distance to snap a clear picture. The motion sensor directs the blind to the lecture halls, classrooms, and laboratory locations using an radio frequency identification reader. The results shows that combination of optical character recognizer and EAST detector produced a fairly accurate result, demonstrating the potential of the glasses to recognize the text. Currently, the language supported by the glasses is English, and the distance covered is 40 to 150 cm.</p>

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