Artificial neural network based color identification and detection to help color blind people.

Background: Color vision defects (CVD), another name for color blindness, is a condition characterized by signs of failure of the optic nerve, which connects to the brain. People who suffer from color blindness have trouble identifying colors both physically and perceptually. Thus, that those who su...

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Publicado en:Technology & Disability Vol. 38; no. 2; pp. 190 - 204
Autores principales: Budisusila, Eka Nuryanto, Hapsari, Jenny Putri, Ismail, Munaf
Formato: computer program equations & formulas pictorial research tables/charts Journal Article
Publicado: Sage Publications Inc. May2026
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2026
      vid: 38
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      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        atl: Artificial neural network based color identification and detection to help color blind people.
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        au:
          Budisusila, Eka Nuryanto
          Hapsari, Jenny Putri
          Ismail, Munaf
        affil: Electrical Department of Universitas Islam Sultan Agung, Semarang, Indonesia
      sug:
        subj:
          Neural Networks (Computer) Utilization
          Color Perception
          Color Vision Defects Rehabilitation
          Assistive Technology Devices Utilization
          Human
          Algorithms
          Artificial Intelligence Utilization
          Light
          Biosensors
          Microcomputers
          Software
          Data Analysis
          Visual Perception
          Power Sources
          Data Collection
          Descriptive Statistics
      ab: Background: Color vision defects (CVD), another name for color blindness, is a condition characterized by signs of failure of the optic nerve, which connects to the brain. People who suffer from color blindness have trouble identifying colors both physically and perceptually. Thus, that those who suffer from it are unable to appropriately differentiate between colors. Objective: In order to recognize colors, victims require a tool. A technology that can assist color blind people in recognizing colors is being tried in this investigation. Methods: The Artificial Neural Network (ANN) algorithm is embedded into the hardware of the system, which is based on artificial intelligence (AI). A light sensor based on the Red, Green, and Blue (RGB) filter is employed. RGB data will be sent into the ANN. An Arduino Due microcontroller is equipped with an ANN program that functions as a data processor. This system's outputs are the color speech on the speaker and the color text on a dot-matrix LED display. Results: This system's output is represented by the color that is shown on the LED dot-matrix display board. The method is successful in identifying all 16 of the training colors. Targets and outputs have an MSE of roughly 0.0001. Conclusions: The findings of this study should assist those who are color blind in identifying colors by listening to the speaker's sound and reading the display board that the system displays.
      pubtype: Academic Journal
      doctype:
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        equations & formulas
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      ougenre: Article
    language: English
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