Vision-assisted applications based on deep learning

Xingzheng Wang

doi:10.1117/12.3055720

9 January 2025 Vision-assisted applications based on deep learning

Xingzheng Wang

Author Affiliations +

Proceedings Volume 13486, Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024); 134860T (2025) https://doi.org/10.1117/12.3055720
Event: Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024), 2024, Chengdu, China

Abstract

With the rapid development of technology and the widespread application of deep learning, computer vision technology has become an important tool to help visually impaired people. Traditional visual assistance systems are often limited by recognition accuracy and real-time performance, while deep learning technology provides new ideas for the development of visual assistance applications with its powerful feature extraction and learning capabilities. This application is based on existing deep learning models and deploys object detection algorithms to mobile devices for user convenience by testing the system in actual environments. The intelligent voice interaction function provided by this application enhances the user experience and interaction sense. The application features are relatively complete, not only allowing users to select images from the album but also providing camera photography as input, as well as real-time content detection and output. At the same time, the application provides voice input and output, greatly simplifying the difficulty of user operation, and also facilitating users to obtain output and make corresponding judgments faster. This application provides a new visual aid tool for visually impaired individuals, making their lives more convenient.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xingzheng Wang "Vision-assisted applications based on deep learning", Proc. SPIE 13486, Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024), 134860T (9 January 2025); https://doi.org/10.1117/12.3055720

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