Welcome to Francis Academic Press

International Journal of Frontiers in Engineering Technology, 2021, 3(2); doi: 10.25236/IJFET.2021.030212.

AI lens treatment recovery instrument

Author(s)

Wang Zhitong, Zhang He, Wei Xingbang, Lin Ziang, Zou Jinting*

Corresponding Author:
Zou Jinting
Affiliation(s)

The Tourism College of Changchun University Changchun, Jilin 130607, China

*Corresponding Author

Abstract

In order to reduce the number of myopia population in China today, to help myopia patients take off their glasses and restore vision. AI lens treatment recovery instrument builds an image processing system through CMOS image sensor and DSP main control chip. Through systematic design, the image system, storage system, detection system and other systems coordinate work to detect vision and make corresponding vision restoration plans. 

Keywords

AI lens therapy recovery instrument; CMOS image sensor; DSP main control chip; wireless connection mode; artificial blind massage; voice prompt

Cite This Paper

Wang Zhitong, Zhang He, Wei Xingbang, Lin Ziang, Zou Jinting. AI lens treatment recovery instrument. International Journal of Frontiers in Engineering Technology (2021), Vol. 3, Issue 2: 64-67. https://doi.org/10.25236/IJFET.2021.030212.

References

[1] Zhang Zhiyong, Tang Yonglin. Research on embedded intelligent ecosystem model based on O2O model. Information Science, Information Science, 2016 02 ISSN: 1007-7634.

[2] Zhang Zhiyong. Hardware design and implementation of wireless remote control robot based on voice control. Knowledge Economy, Issue 17, 2009, ISSN: 1007-3825.

[3] Liu Yue. Orthokeratology for the treatment of refractive errors, visual acuity and corneal curvature changes in high and low myopia, China Eyewear Technology, Issue 2019-11-01.

[4] Single Chip Microcomputer and Embedded System Application, 2005, 5 (1): 47-49.

[5] Mei Weifeng, Chen Limin. Research progress in the treatment of myopia. Modern Hospital, 2017-12-28, 33(5): 96-97.

[6] Miao Chao, Chen Keming, Lu Jianguo, et al. Smart door lock with wireless charging and remote control [J]. Journal of Hangzhou Dianzi University, 2015, 35(4): 20-22.