Pattern-Based Reinforcement Learning for Wearable AI Vision Assist Devices on Edge Platforms

Author(s)	Siva Santhosh R, Sudharsun BT, Manoj S, R. Arunkumar
Country	India
Abstract	This paper presents an AI-powered wearable device designed to assist visually impaired individuals by integrating natural language processing (NLP), computer vision (CV), and reinforcement learning (RL). Built on a Raspberry Pi platform, the system combines object detection (YOLO), facial recognition (DeepFace), and LLM-based query reasoning to provide real-time audio feedback. The proposed solution enhances navigation, awareness, and safety through intelligent perception and context understanding. We detail the system architecture, optimization techniques for low-power execution, and demonstrate its practical effectiveness in real-world scenarios.
Keywords	Keywords—machine learning, wearable technology, Raspberry Pi, object recognition, deepface, YOLO, large language models (LLMs), edge artificial intelligence
Field	Computer Applications
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-05-06
DOI	https://doi.org/10.71097/IJSAT.v16.i2.4166
Short DOI	https://doi.org/g9hsqt

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International Journal on Science and Technology