Color blind assistant app based on computer vision using openCV
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Published:
Aug 30, 2023
Keywords:
Android Application, Computer Vision, Object Color Detection, OpenCV
Section
Computer Science
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Abstract
One of the health problems is color blindness. This disease is the inability to determine certain types of colors. The number of people with color blindness in Indonesia is increasing every year. Based on this problem, a color detection application was created to help color blind people based on computer vision. This application is made to be able to detect the color of objects in real-time using OpenCV library to detect color, taking objects using a smartphone camera. This application can detect an object moreover it can display color information in the form of sound from the smartphone. The color detection application aims to enhance the daily lives of color blind individuals especially in Indonesia by assisting them in perceiving and distinguishing colors in real-time, thereby promoting inclusivity and improving their overall experiences.
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How to Cite
Alfiansyah, F. ., Gozali, A. A. . and Natakusuma, A. . (2023) “Color blind assistant app based on computer vision using openCV”, Jurnal Mantik, 7(2), pp. 588-596. doi: 10.35335/mantik.v7i2.3889.
References
Abdelhamid, A. A., Alotaibi, S. R., & Mousa, A. (2020). Deep learning-based prototyping of android gui from hand-drawn mockups. IET Software, 14(7), 816–824. https://doi.org/10.1049/iet-sen.2019.0378
Annapoorani, A., Kumar, N. S., & Vidhya, V. (2021). Blind-Sight: Object Detection with Voice Feedback. In International Journal of Scientific Research & Engineering Trends (Vol. 7, Issue 2).
Arali, R., Halawal, V., & Naik, A. (2021). Colour Detection from Image. International Journal of Advances in Engineering and Management (IJAEM), 3, 2164. https://doi.org/10.35629/5252-030721642171
Brosseau, P., Nestor, A., & Behrmann, M. (2020). Colour blindness adversely impacts face recognition*. Visual Cognition. https://doi.org/10.1080/13506285.2020.1788682
Chakravorty, H. (2020). To Detection of Fish Disease using Augmented Reality and Image Processing. Advances in Image and Video Processing, 7(6). https://doi.org/10.14738/aivp.76.7503
de Saxe, J. G. (2022). Unsettling the “White University”-Undermining Color-blindness through Critical Race Theory and Testimonio. Journal for Critical Education Policy Studies, 19(3).
Dody, Q. U., Tati, L. R. M., Richard, M., Andika, P. G., & Tauhid, N. A. (2019). RGB Color Cluster and Graph Coloring Algorithm for Partial Color Blind Correction. MATEC Web of Conferences, 255. https://doi.org/10.1051/matecconf/201925501002
Huang, J., Chen, J., Li, K., Li, J., & Liu, H. (2020). Identification of multiple plant leaf diseases using neural architecture search. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 36(16). https://doi.org/10.11975/j.issn.1002-6819.2020.16.021
Juneja, A., Juneja, S., Soneja, A., & Jain, S. (2021). Real time object detection using CNN based single shot detector model. Journal of Information Technology Management, 13(1). https://doi.org/10.22059/jitm.2021.80025
Kwong, Q. J. (2020). Light level, visual comfort and lighting energy savings potential in a green-certified high-rise building. Journal of Building Engineering, 29. https://doi.org/10.1016/j.jobe.2020.101198
Kylili, K., Artusi, A., & Hadjistassou, C. (2021). A new paradigm for estimating the prevalence of plastic litter in the marine environment. Marine Pollution Bulletin, 173. https://doi.org/10.1016/j.marpolbul.2021.113127
Lazarus, M., Yan, D., Limanowski, R., Lin, L., & Keidar, M. (2022). Recognizing Cold Atmospheric Plasma Plume Using Computer Vision. Plasma, 5(3). https://doi.org/10.3390/plasma5030026
Liu, X., Wang, S., Xu, L., Yuan, Q., Ma, S., Yu, C., Niu, C., Chen, C., Yuan, X., & Zeng, J. (2019). Real time color recognition of moving raisin based on OpenCV. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 35(23). https://doi.org/10.11975/j.issn.1002-6819.2019.23.022
Martinez-Alpiste, I., Golcarenarenji, G., Wang, Q., & Alcaraz-Calero, J. M. (2022). Smartphone-based real-time object recognition architecture for portable and constrained systems. Journal of Real-Time Image Processing, 19(1). https://doi.org/10.1007/s11554-021-01164-1
Mohibullah, M., Shahriar Muzammel, C., Ahammad, K., Sakhawat Hosen, MD., & Rakibul Islam, MD. (2022). Face Detection and Recognition from Real Time Video or Recoded Video using Haar Features with Viola Jones Algorithm and Eigenface Approach with PCA. International Journal of Research Publications, 93(1). https://doi.org/10.47119/ijrp100931120222769
Munk, A. H., Starup, E. B., Lambon Ralph, M. A., Leff, A. P., Starrfelt, R., & Robotham, R. J. (2023). Colour perception deficits after posterior stroke: Not so rare after all? Cortex, 159. https://doi.org/10.1016/j.cortex.2022.12.001
Papakonstantinou, A., Stamati, C., & Topouzelis, K. (2020). Comparison of true-color and multispectral unmanned aerial systems imagery for marine habitat mapping using object-based image analysis. Remote Sensing, 12(3). https://doi.org/10.3390/rs12030554
Qiu, R., Yang, C., Moghimi, A., Zhang, M., Steffenson, B. J., & Hirsch, C. D. (2019). Detection of Fusarium Head Blight in wheat using a deep neural network and color imaging. Remote Sensing, 11(22). https://doi.org/10.3390/rs11222658
Radecki, A., Bujacz, M., Skulimowski, P., & Strumi??o, P. (2020). Interactive sonification of images in serious games as an education aid for visually impaired children. British Journal of Educational Technology, 51(2). https://doi.org/10.1111/bjet.12852
Selim, M., Cichowski, E., Kubowicz, R., Alghoula, F., & Sankaraneni, R. (2021). A Case of Acquired Cerebral Achromatopsia Secondary to Posterior Cerebral Artery Stroke. Cureus. https://doi.org/10.7759/cureus.14798
Sigut, J., Castro, M., Arnay, R., & Sigut, M. (2020). OpenCV Basics: A Mobile Application to Support the Teaching of Computer Vision Concepts. IEEE Transactions on Education, 63(4). https://doi.org/10.1109/TE.2020.2993013
Thoreson, W. B., & Dacey, D. M. (2019). Diverse cell types, circuits, and mechanisms for color vision in the vertebrate retina. Physiological Reviews, 99(3). https://doi.org/10.1152/physrev.00027.2018
Tu, K., Wen, Q., Shen, H., Yu, F., & Gu, X. (2019). New method of structural interpretation in meadow covering based on GaoFen-3 Pol-SAR images. Yaogan Xuebao/Journal of Remote Sensing, 23(2). https://doi.org/10.11834/jrs.20198098
Wright, C. E. (2022). Leveraging an App to Support Students with Color-Vision Deficiency and Color-Blindness in Online General Chemistry Laboratories. Journal of Chemical Education, 99(3). https://doi.org/10.1021/acs.jchemed.1c00664
Zhao, S., Chen, C., & Luo, Y. (2020). Probabilistic Principal Component Analysis Assisted New Optimal Scale Morphological Top-Hat Filter for the Fault Diagnosis of Rolling Bearing. IEEE Access, 8. https://doi.org/10.1109/ACCESS.2020.301963
Annapoorani, A., Kumar, N. S., & Vidhya, V. (2021). Blind-Sight: Object Detection with Voice Feedback. In International Journal of Scientific Research & Engineering Trends (Vol. 7, Issue 2).
Arali, R., Halawal, V., & Naik, A. (2021). Colour Detection from Image. International Journal of Advances in Engineering and Management (IJAEM), 3, 2164. https://doi.org/10.35629/5252-030721642171
Brosseau, P., Nestor, A., & Behrmann, M. (2020). Colour blindness adversely impacts face recognition*. Visual Cognition. https://doi.org/10.1080/13506285.2020.1788682
Chakravorty, H. (2020). To Detection of Fish Disease using Augmented Reality and Image Processing. Advances in Image and Video Processing, 7(6). https://doi.org/10.14738/aivp.76.7503
de Saxe, J. G. (2022). Unsettling the “White University”-Undermining Color-blindness through Critical Race Theory and Testimonio. Journal for Critical Education Policy Studies, 19(3).
Dody, Q. U., Tati, L. R. M., Richard, M., Andika, P. G., & Tauhid, N. A. (2019). RGB Color Cluster and Graph Coloring Algorithm for Partial Color Blind Correction. MATEC Web of Conferences, 255. https://doi.org/10.1051/matecconf/201925501002
Huang, J., Chen, J., Li, K., Li, J., & Liu, H. (2020). Identification of multiple plant leaf diseases using neural architecture search. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 36(16). https://doi.org/10.11975/j.issn.1002-6819.2020.16.021
Juneja, A., Juneja, S., Soneja, A., & Jain, S. (2021). Real time object detection using CNN based single shot detector model. Journal of Information Technology Management, 13(1). https://doi.org/10.22059/jitm.2021.80025
Kwong, Q. J. (2020). Light level, visual comfort and lighting energy savings potential in a green-certified high-rise building. Journal of Building Engineering, 29. https://doi.org/10.1016/j.jobe.2020.101198
Kylili, K., Artusi, A., & Hadjistassou, C. (2021). A new paradigm for estimating the prevalence of plastic litter in the marine environment. Marine Pollution Bulletin, 173. https://doi.org/10.1016/j.marpolbul.2021.113127
Lazarus, M., Yan, D., Limanowski, R., Lin, L., & Keidar, M. (2022). Recognizing Cold Atmospheric Plasma Plume Using Computer Vision. Plasma, 5(3). https://doi.org/10.3390/plasma5030026
Liu, X., Wang, S., Xu, L., Yuan, Q., Ma, S., Yu, C., Niu, C., Chen, C., Yuan, X., & Zeng, J. (2019). Real time color recognition of moving raisin based on OpenCV. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 35(23). https://doi.org/10.11975/j.issn.1002-6819.2019.23.022
Martinez-Alpiste, I., Golcarenarenji, G., Wang, Q., & Alcaraz-Calero, J. M. (2022). Smartphone-based real-time object recognition architecture for portable and constrained systems. Journal of Real-Time Image Processing, 19(1). https://doi.org/10.1007/s11554-021-01164-1
Mohibullah, M., Shahriar Muzammel, C., Ahammad, K., Sakhawat Hosen, MD., & Rakibul Islam, MD. (2022). Face Detection and Recognition from Real Time Video or Recoded Video using Haar Features with Viola Jones Algorithm and Eigenface Approach with PCA. International Journal of Research Publications, 93(1). https://doi.org/10.47119/ijrp100931120222769
Munk, A. H., Starup, E. B., Lambon Ralph, M. A., Leff, A. P., Starrfelt, R., & Robotham, R. J. (2023). Colour perception deficits after posterior stroke: Not so rare after all? Cortex, 159. https://doi.org/10.1016/j.cortex.2022.12.001
Papakonstantinou, A., Stamati, C., & Topouzelis, K. (2020). Comparison of true-color and multispectral unmanned aerial systems imagery for marine habitat mapping using object-based image analysis. Remote Sensing, 12(3). https://doi.org/10.3390/rs12030554
Qiu, R., Yang, C., Moghimi, A., Zhang, M., Steffenson, B. J., & Hirsch, C. D. (2019). Detection of Fusarium Head Blight in wheat using a deep neural network and color imaging. Remote Sensing, 11(22). https://doi.org/10.3390/rs11222658
Radecki, A., Bujacz, M., Skulimowski, P., & Strumi??o, P. (2020). Interactive sonification of images in serious games as an education aid for visually impaired children. British Journal of Educational Technology, 51(2). https://doi.org/10.1111/bjet.12852
Selim, M., Cichowski, E., Kubowicz, R., Alghoula, F., & Sankaraneni, R. (2021). A Case of Acquired Cerebral Achromatopsia Secondary to Posterior Cerebral Artery Stroke. Cureus. https://doi.org/10.7759/cureus.14798
Sigut, J., Castro, M., Arnay, R., & Sigut, M. (2020). OpenCV Basics: A Mobile Application to Support the Teaching of Computer Vision Concepts. IEEE Transactions on Education, 63(4). https://doi.org/10.1109/TE.2020.2993013
Thoreson, W. B., & Dacey, D. M. (2019). Diverse cell types, circuits, and mechanisms for color vision in the vertebrate retina. Physiological Reviews, 99(3). https://doi.org/10.1152/physrev.00027.2018
Tu, K., Wen, Q., Shen, H., Yu, F., & Gu, X. (2019). New method of structural interpretation in meadow covering based on GaoFen-3 Pol-SAR images. Yaogan Xuebao/Journal of Remote Sensing, 23(2). https://doi.org/10.11834/jrs.20198098
Wright, C. E. (2022). Leveraging an App to Support Students with Color-Vision Deficiency and Color-Blindness in Online General Chemistry Laboratories. Journal of Chemical Education, 99(3). https://doi.org/10.1021/acs.jchemed.1c00664
Zhao, S., Chen, C., & Luo, Y. (2020). Probabilistic Principal Component Analysis Assisted New Optimal Scale Morphological Top-Hat Filter for the Fault Diagnosis of Rolling Bearing. IEEE Access, 8. https://doi.org/10.1109/ACCESS.2020.301963
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