Tools for Student's Project Development Acceleration

Tiponut, Virgil; Haraszy, Zoltan; Ianchis, Daniel

doi:10.1109/ae.2006.4383001

Cited by 2 publications

(1 citation statement)

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“…They also have trouble moving around and interacting with their surroundings. The main challenges faced by VIPs are object detection and recognition, money identification, textual information (signs, symbols), translation, mobility/navigation, and safety [3].Several methods, platforms, tools, and software have been created in the assistive technology field in the past to help VIPs carry out tasks that they were formerly unable to do [4]. These solutions often consist of electronic gadgets with cameras, sensors, and microprocessors that can decide and give the user input via touch or sound.…”

Section: Introductionmentioning

confidence: 99%

Object Detection and Localization for Visually Impaired

Reddy Bolla,

Rauniyar,

Sowmya

et al. 2023

ITM Web Conf.

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Now a days Both temporary and permanent disabilities affect a large number of people in this one of the disabilities is blindness there are a lot of blind persons in the world. Nearly 390 lakh individuals are fully blind, and another 2850 lakh are purblind, or visually impaired, according to the World Health Organisation (WHO). Many supporting or guiding systems have been established, and are still being developed, to improve people’s daily lives as they move from one place to another. Therefore, the main concept behind our suggested method is to provide an auto-assistance system for people who are visually impaired. As a result of their inability to see the object, the disabled person may find this auto-assistance system useful. To create an assisting system for blind persons, numerous methods have been put into place. Some systems are still being studied. The implemented models had a number of drawbacks when it came to object detection. We suggest a new method that uses CNNs (Convolutional Neural Networks) to aid those who are blind or visually impaired.

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Section: Introductionmentioning

confidence: 99%