Abstract: In response to the imperative of universal accessibility in today's fast-paced technological landscape, this project is committed to empowering visually impaired individuals by devising a comprehensive system to tackle their daily challenges. Leveraging cutting-edge real-time image processing techniques, our initiative is centered on creating a robust framework that addresses key obstacles faced by the visually impaired. This encompasses the development of sophisticated algorithms for object classification, accurate distance estimation, precise person identification, and auditory feedback integration. By prioritizing the creation of an efficient object classification model and a precise distance estimation algorithm, our system aims to deliver effective support to visually impaired users. Additionally, we are pioneering advancements in person identification accuracy and plan to seamlessly integrate audio models for accessible feedback. Rooted in considerations of technical feasibility, market demand, user input, cost-effectiveness, and ethical standards, our project follows a systematic methodology. This entails clearly defined objectives, meticulous hardware and software selection, data acquisition protocols, and rigorous image processing procedures. Designed with adaptability and scalability in mind, our system endeavors to continuously meet the evolving needs of visually impaired individuals, thereby significantly enriching their daily lives.
Keywords: Image processing, Computer vision, Machine learning, Deep learning, Convolutional neural networks (CNNs), Object detection, Distance estimation, Auditory feedback, Assistive technology, Accessibility solutions, Visual impairment, Camera input.
Cite:
Ananya B Hegde, Gautham Jain, Karthik A, Kartik Mehta, Mr Annappa Swamy D.R, "Image-Based Object Classification and Distance Measurement for the visually Impaired", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.133114.
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DOI:
10.17148/IJARCCE.2024.133114
