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May 9, 2026SensorsOpen Access

AI-Assisted Vision Alarming System for Blind and Vision- Impaired People

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Authors

LTLe Chung TranSLSinh Khai LyRBRhys Blacklidge

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Overview

Randomized trial demonstrates improved obstacle awareness in vision-impaired individuals, suggesting enhanced safety and independence.

Key Points

  • The aim is to improve navigation safety for blind and vision-impaired individuals through an innovative alarming system.
  • Developed a Vision Alarming System (VAS) utilizing AI/IoT technologies with Raspberry Pi 5 and LiDAR sensor.
  • Implemented obstacle detection using an AI depth camera and Docker architecture with ROS 2.
  • Communicated obstacle information to users via Bluetooth with a neural TTS system and SoX technologies.
  • VAS demonstrated effective obstacle detection, significantly enhancing situational awareness for users.
  • Users reported increased confidence and independence in navigating complex environments.
  • The system remains low-cost and low-power, highlighting its accessibility and usability.

Cite This Study

Tran et al. (2026) studied this question.

synapsesocial.com/papers/69fed16ab9154b0b82878abdhttps://doi.org/10.3390/s26102929
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