Author:
Wong Wai Kit,Sia Boon Jin,Min Thu Soe
Abstract
Abstract: People who are visually impaired find it is challenging to temporarily store their precious or personal belongings to keep them safe. To improve their quality of life, visually impaired individuals need a storage locker equipped with assistive technology where they may store their valuables or personal items while they are at home or on the go. The voice-activated storage locker for the visually impaired individuals that is proposed in this study involve a voice recognition module, voice playback, a micro servo motor, and a braille keypad. With these integrated features, it will be easier for visually impaired individuals to operate the storage locker, which will boost its efficacy. A rotating mechanism would be activated by an electronic system built within the lock employing a servo motor. To make them easier for those with visual impairments to operate, standard storage locker types have been upgraded to include digital voice control. The results of a test conducted on 20 people with visual impairments showed that accurate passwords spoken by the user could lock and open the storage locker with an accuracy of up to 95%.
Reference15 articles.
1. Yahya Y., Wisjhnuadji T. W. and Arunkumar N., "Automatic Safe Deposit Box Security System Using Arduino UNO," Journal of Advanced Research in Dynamical and Control Systems 2017; 9(Sp-16): 806-819.
2. Ayon S. I, "Short Messaging System Based Security Box using Arduino and GSM Module," Journal of Telematics and Informatics (JTI), 2018; 6: pp. 7-14.
3. Wagh P., Prajapati U., Shinde M., Salunke P., Chaskar V., Telavane S. and Yadav V., "E-Braille-a self-learning Braille device," in 2016 Twenty Second National Conference on Communication (NCC), 2016, pp. 1-6. https://doi.org/10.1109/NCC.2016.7561162
4. Raj L. D. W., Santhosh K., Subash S., Sujin C. and Tharun P., "Voice controlled door lock system using Matlab and Arduino," in 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN), 2019, pp. 1-6. https://doi.org/10.1109/ICSCAN.2019.8878708
5. Bashar A., "Survey on evolving deep learning neural network architectures," Journal of Artificial Intelligence, 2019; 1: p. 73-82. https://doi.org/10.36548/jaicn.2019.2.003
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