東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ null ]

切換: 標籤 | MARC模式 | ISBD

An IoT-Based System for People With ...

Alnassir, Abdullah,

FindBook

Google Book

Amazon

博客來

An IoT-Based System for People With Visual Impairments /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	An IoT-Based System for People With Visual Impairments // Abdullah Alnassir.
作者:	Alnassir, Abdullah,
面頁冊數:	1 electronic resource (57 pages)
附註:	Source: Masters Abstracts International, Volume: 86-06.
Contained By:	Masters Abstracts International86-06.
標題:	Engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31763535
ISBN:	9798346869740

An IoT-Based System for People With Visual Impairments /
Alnassir, Abdullah,

An IoT-Based System for People With Visual Impairments /Abdullah Alnassir. - 1 electronic resource (57 pages)

Source: Masters Abstracts International, Volume: 86-06.

Helping blind and visually impaired people (BLV) is the main goal of this research; mainly to detect, in real-time, obstacles via the proposed system, which can be attached to canes to make them navigate their surroundings safely and independently. BLV go through many variable challenges, depending on their sight level and impairments. The presented solution will integrate a camera-based object detection model with an ultrasonic sensor to hand the user clear and precise information about what surrounds them. Using MobileNet SSD for camera detection and an ultrasonic sensor to measure distance, the solution can detect both seen and not seen obstacles to ensure higher safety.The proposed system gives information to the user via audio, vibration, and sound alerts. The audio is delivered via Bluetooth headphones, which provides the user with a heard description of nearby objects using Google's Text-to-Speech (gTTS) feature. In some cases where the audio is insufficient, such as in crowded or noisy spots, the system may not do its job, that is why the project has a vibrator motor to give the user the necessary awareness that he is approaching an obstacle, while the buzzer will work as a supportive module to the vibrator, which will give an immediate feedback, in turns, increase users' safety.By utilizing the components used, this solution runs well in most cases. My experiments have shown that the system functions well in environments with good lighting, accurately detecting objects about 85% of the time. However, in dim places, the camera has shown a decrease in effectiveness; that is where the ultrasonic sensor becomes essential. However, sometimes there are delays when detecting obstacles in busy environments while it faces many changes at once.The proposed system presented in this thesis makes a meaningful contribution to assistive technology by offering a practical tool for BLV. By making it compact and affordable, this ensures the solution is accessible to a wider population.

English

ISBN: 9798346869740Subjects--Topical Terms:

586835
Engineering.
Subjects--Index Terms:

Assistive

An IoT-Based System for People With Visual Impairments /
LDR:03382nmm a22004453i 4500 001 2428318
005 20250414021705.5
006 m o d
007 cr|nu||||||||
008 261011s2024 miu||||||m |||||||eng d
020 $a 9798346869740
035 $a (MiAaPQD)AAI31763535
035 $a AAI31763535
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Alnassir, Abdullah, $e author. $3 3815450
245 1 3 $a An IoT-Based System for People With Visual Impairments / $c Abdullah Alnassir.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (57 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 86-06.
500 $a Advisors: Yu, Chen-Hsiang Committee members: Hillyard, Robin; Liu, Handan.
502 $b M.S. $c Northeastern University $d 2024.
520 $a Helping blind and visually impaired people (BLV) is the main goal of this research; mainly to detect, in real-time, obstacles via the proposed system, which can be attached to canes to make them navigate their surroundings safely and independently. BLV go through many variable challenges, depending on their sight level and impairments. The presented solution will integrate a camera-based object detection model with an ultrasonic sensor to hand the user clear and precise information about what surrounds them. Using MobileNet SSD for camera detection and an ultrasonic sensor to measure distance, the solution can detect both seen and not seen obstacles to ensure higher safety.The proposed system gives information to the user via audio, vibration, and sound alerts. The audio is delivered via Bluetooth headphones, which provides the user with a heard description of nearby objects using Google's Text-to-Speech (gTTS) feature. In some cases where the audio is insufficient, such as in crowded or noisy spots, the system may not do its job, that is why the project has a vibrator motor to give the user the necessary awareness that he is approaching an obstacle, while the buzzer will work as a supportive module to the vibrator, which will give an immediate feedback, in turns, increase users' safety.By utilizing the components used, this solution runs well in most cases. My experiments have shown that the system functions well in environments with good lighting, accurately detecting objects about 85% of the time. However, in dim places, the camera has shown a decrease in effectiveness; that is where the ultrasonic sensor becomes essential. However, sometimes there are delays when detecting obstacles in busy environments while it faces many changes at once.The proposed system presented in this thesis makes a meaningful contribution to assistive technology by offering a practical tool for BLV. By making it compact and affordable, this ensures the solution is accessible to a wider population.
546 $a English
590 $a School code: 0160
650 4 $a Engineering. $3 586835
650 4 $a Social psychology. $3 520219
650 4 $a Educational technology. $3 517670
650 4 $a Disability studies. $3 543687
653 $a Assistive
653 $a Blind
653 $a IOT-based
653 $a Technology
653 $a Visually impaired
690 $a 0537
690 $a 0451
690 $a 0201
690 $a 0710
710 2 $a Northeastern University. $b Electrical and Computer Engineering. $e degree granting institution. $3 3770414
720 1 $a Yu, Chen-Hsiang $e degree supervisor.
773 0 $t Masters Abstracts International $g 86-06.
790 $a 0160
791 $a M.S.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31763535