The development of braille display utilizing rotating braille-embossing disks with AI-based character recognition.




In this study, we have developed a hardware-optimized rotating disk-based Braille display. It requires a fewer actuators compared to the commercially available Braille notetakers that rely on piezoelectric actuators or electromagnets. An evaluation system was also constructed to quantify the accuracy and response time of the Braille output process using this newly developed display. The Braille display utilizes a Braille-based disk structure that indirectly represents braille patterns. Experimental results demonstrated that the rotational accuracy of the disk was within 2.7°, and a bidirectional rotation reduced the rotation pulse up to 200 compared to unidirectional rotation. Furthermore, the mean output time for a set of ten frequently used English words was measured to be 1600 ms. When YOLO V8-n AI (artificial intelligence) library was used to detect the characters and the position of a user’s finger model, the system consistently exhibited an average confidence level of ∼86 %.
Location: United States

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