Futuristic Smart AI Powered Backpack

Puneeth V.*, Satwik E. R.**, Sanjay C. S.***, Pramod K. R.****, Shyamala S. C.*****
*-***** Department of Electronics and Communication Engineering, P.E.S. Institute of Technology and Management, Shivamogga, Karnataka, India.
Periodicity:July - December'2024
DOI : https://doi.org/10.26634/jaim.2.2.20403

Abstract

The Smartbag revolutionizes independent mobility for the visually impaired by combining cutting-edge technology with intuitive design. Functioning as both a navigational aid and an interactive assistant, it utilizes a Raspberry Pi 4 and Arduino UNO to power its array of features. Equipped with GPS tracking, ultrasonic sensors, and a facial recognition camera, it detects obstacles, charts safe routes, and captures images upon command. Integrated health monitoring and fall detection systems prioritize user safety, while a built-in chatbot offers companionship and support during travel. With voice command capabilities and accessible interfaces, the Smartbag ensures seamless interaction and navigation. It represents a comprehensive solution for individuals with visual impairments, empowering them to navigate the world confidently and independently

Keywords

Smartbag, AI Backpack, Raspberry PI, GPS, Chatbot, Blind Assistance.

How to Cite this Article?

Puneeth, V., Satwik, E. R., Sanjay, C. S., Pramod, K. R., and Shyamala, S. C. (2024). Futuristic Smart AI Powered Backpack. i-manager’s Journal on Artificial Intelligence & Machine Learning, 2(2), 17-23. https://doi.org/10.26634/jaim.2.2.20403

References

[6]. Smruthi, K. M., & Tejas, R. (2018). An android app for loT based remote health monitoring system. In 3rd National Conference on Image Processing, Computing, Communication, Networking and Data Analytics (pp. 401).
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 40 40 300
Online 40 40 300
Pdf & Online 40 40 300

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.