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Related Concept Videos

Visual Agnosia01:12

Visual Agnosia

Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round end"...
Blind Procedures02:07

Blind Procedures

Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which child was...
Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category, whereas...
Visual System01:26

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...

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Related Experiment Video

Updated: May 28, 2026

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
09:01

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

Published on: March 27, 2013

AI-Assisted Vision Alarming System for Blind and Vision- Impaired People.

Le Chung Tran1, Sinh Khai Ly1, Rhys Blacklidge1

  • 1School of Engineering, University of Wollongong, Northfield Avenue, Wollongong, NSW 2522, Australia.

Sensors (Basel, Switzerland)
|May 27, 2026
PubMed
Summary

The Vision Alarming System (VAS) enhances safety for visually impaired individuals by detecting obstacles. This low-cost, AI/IoT device provides crucial environmental information, improving navigation and independence.

Keywords:
AIDepthAIIoTLiDAROak D-LiteROS 2Raspberry Pi 5SoXTTSYOLOblindvision-impaired

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A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
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A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

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Last Updated: May 28, 2026

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
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A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
09:29

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

Area of Science:

  • Computer Science
  • Robotics
  • Assistive Technology

Background:

  • Navigating daily environments is challenging for individuals with vision impairments.
  • Existing assistive devices often have limitations such as high cost or information overload.
  • There is a need for effective, affordable, and user-friendly assistive technology for the visually impaired.

Purpose of the Study:

  • To develop and evaluate the Vision Alarming System (VAS) for enhancing the safety and independence of blind and vision-impaired individuals.
  • To create a low-cost, low-power, and open-source assistive device utilizing AI and IoT technologies.
  • To provide timely and relevant obstacle information to users for improved situational awareness.

Main Methods:

  • The Vision Alarming System (VAS) was developed using a Raspberry Pi 5, LiDAR sensor, and an AI depth camera.
  • The system employed a Docker architecture and a Robotic Operating System 2 (ROS 2) backbone.
  • Obstacle detection data was communicated to users via Bluetooth using the Piper Text-To-Speech (TTS) system and Sound eXchange (SoX).

Main Results:

  • The proof-of-concept system demonstrated effective obstacle detection and awareness for users.
  • VAS successfully provided critical environmental information without overwhelming the user.
  • The system proved to be a standalone, open-source, low-cost, and low-power solution.

Conclusions:

  • The Vision Alarming System (VAS) offers a viable solution to improve safety for the visually impaired.
  • VAS leverages AI/IoT to provide essential information, enhancing user independence and confidence.
  • This assistive device represents a significant advancement in accessible technology for navigating complex environments.