Blind Assistance System

Authors

  • Linu Babu P Author
  • Sindhu T.V APJ Abdul Kalam Technological University Author

Keywords:

IoT, Artificial Intelligence (AI), AI-based Advanced Blind Assistance System that integrates computer vision

Abstract

Blind individuals face significant challenges in navigating their surroundings independently. Our Advanced Blind Assistance System aims to enhance their mobility and confidence by integrating AI-driven technologies for real-time assistance. This system is equipped with text-to-speech functionality, allowing it to read printed text and convert it into audio output via a speaker. Additionally, it utilizes object detection to recognize day-to-day objects, informing the user about their surroundings. A key feature of our system is face recognition, enabling blind individuals to identify friends and loved ones, enhancing social interactions. Furthermore, an emergency alert button is integrated to provide safety assurance. When activated, it notifies the user’s close contacts via a dedicated mobile application, sharing the exact real-time location of the blind person (available in the upgraded version). By combining AI, IoT, and voice assistance, our project empowers visually impaired individuals to perform daily tasks with greater ease, fostering independence and improving their quality of life.

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Published

2026-02-10

How to Cite

Blind Assistance System. (2026). IES International Journal of Multidisciplinary Engineering Research, 2(1), 289-297. https://www.iescepublication.com/index.php/iesijmer/article/view/111

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