AI-ENABLED SMART ASSISTIVE CANE WITH IOT MONITORING AND EMERGENCY ALERT SYSTEM FOR VISUALLY IMPAIRED

Authors

  • Suvendu Sahoo Author
  • Stiti Pragnya Nayak Author
  • Shalini Hota Author

DOI:

https://doi.org/10.64751/99pn8985

Keywords:

Artificial Intelligence, Smart Assistive Cane, Internet of Things (IoT), Visually Impaired, Obstacle Detection, Emergency Alert System, GPS Tracking, Smart Healthcare

Abstract

Monitoring and Emergency Alert System for Visually Impaired is an intelligent mobility assistance solution designed to improve the safety, independence, and navigation experience of visually impaired individuals. Traditional walking aids provide limited support in obstacle detection, location tracking, and emergency communication. The proposed system integrates Artificial Intelligence (AI), Internet of Things (IoT), and smart sensor technologies to offer real-time assistance and enhanced user safety. The system consists of obstacle detection, navigation assistance, GPS tracking, and emergency alert modules. Ultrasonic and infrared sensors are used to detect nearby obstacles, stairs, and road hazards, while AIbased processing helps analyze the surroundings and provide accurate voice or vibration feedback to the user. The IoTenabled monitoring system allows caregivers or family members to track the user’s live location during emergencies. In critical situations, the emergency alert feature automatically sends notifications and location details to registered contacts through a mobile or web-based platform. The AI-Enabled Smart Assistive Cane improves mobility, enhances user confidence, reduces accident risks, and ensures faster emergency response. The proposed solution offers a modern, affordable, and reliable assistive technology for supporting visually impaired individuals in their daily lives.

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Published

2026-06-06

How to Cite

AI-ENABLED SMART ASSISTIVE CANE WITH IOT MONITORING AND EMERGENCY ALERT SYSTEM FOR VISUALLY IMPAIRED. (2026). International Journal of AI Electronics and Nexus Energy, 2(2(2), 60-68. https://doi.org/10.64751/99pn8985

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