Author(s)

Liu Yan ¹, Luan Zengxu ¹, Gao Chang ¹, Zheng Ziye ¹, Zheng Hui ¹

Affiliation(s)

¹ School of Computer Science and Technology, Beihua University, Jilin Province, Jilin City, China

Corresponding Author

Zheng Hui

ABSTRACT

Visually impaired individuals face challenges in independent mobility, as traditional assistive devices have limitations in terms of single-dimensional environmental perception and delayed real-time interaction. Current mainstream guide devices rely on ultrasound or basic obstacle avoidance logic, whose technical architecture struggles to analyze the dynamic spatial depth of complex urban environments. Technological breakthroughs in miniaturized RGB-D cameras and ToF sensors have opened up new possibilities, while bone conduction technology provides an open auditory channel, laying the foundation for non-invasive navigation. This paper delves into the cross-modal collaboration mechanism between depth perception and bone conduction, achieving three major innovations in its technical framework: lightweight depth computing units perform millimeter-level scene modeling with the support of embedded visual processors; spatial sound field modeling technology drives bone conduction audio directional prompts; and edge computing architecture ensures the efficiency of multi-sensor spatiotemporal fusion. The system identifies the attributes of dynamic obstacles through semantic segmentation algorithms, utilizes infrared assistance to mitigate strong light interference, and establishes a redundant verification mechanism for rainy and foggy environments. The ultimate goal is to reconstruct the spatial cognitive paradigm of visually impaired individuals and provide centimeter-level environmental understanding capabilities.

KEYWORDS

Deep perception; bone conduction; smart guide; obstacle recognition; wearable devices

CITE THIS PAPER

Liu Yan, Luan Zengxu, Gao Chang, Zheng Ziye, Zheng Hui, Design and Implementation of Smart Guide Glasses for the Blind Based on Deep Perception and Bone Conduction Technology. Journal of Artificial Intelligence Practice (2025) Vol. 8: 54-62. DOI: http://dx.doi.org/10.23977/jaip.2025.080308.

REFERENCES

[1] Zhang Pingxin, Luo Tang, Du Haijun, et al. Design of Smart Blind-Assist Glasses Based on Augmented Reality Technology [J]. Henan Science and Technology, 2020, (22): 11-12.
[2] Huang Yulong. Smart Blind Glasses Based on Artificial Intelligence Technology [J]. Electronic World, 2017, (23): 173+175.
[3] Kang Yanan, Fan Changxi, Zhang Xueyi, et al. Application of Binocular Vision in Smart Guide Glasses [J]. Electronic World, 2018, (09): 183-184.
[4] Tang Zihang, Huang Xu, Tan Boming. Spring for the Blind: A Comprehensive Study on Intelligent Guide Glasses Based on Machine Vision [J]. Science and Technology Economy Market, 2024, (09): 45-47.
[5] Yao Peiqi, Lu Yuming. Design and Exploration of Smart Guide Glasses Based on Inclusive Design Principles [J]. Design, 2024, 37(01): 8-11.

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