为视障者开发可独立识别斯里兰卡纸币的高精度系统
Money Recognition for the Visually Impaired: A Case Study on Sri Lankan Banknotes
- 基于自建数据集微调EfficientDet模型，实现纸币识别
- 验证集上平均精度达0.9847，真实场景表现优异
- 界面直观，助力视障者快速准确辨识面额
货币纸币识别对盲人而言是重要的无障碍需求，准确识别纸币有助于提升其在金融交易中的独立性与安全性。尽管已有多种传统与技术方案，但多数不够友好，难以满足盲人群体的实际使用需求。本研究提出一种面向斯里兰卡纸币的独立、易用识别系统，构建了专用图像数据集，并在此基础上微调EfficientDet模型。该模型在验证集上达到0.9847的平均精度（AP），在真实场景中表现卓越。高精度与直观交互界面使视障用户能快速、准确识别纸币面额，有效促进无障碍与自主性。
原文摘要 · Abstract (English)
Currency note recognition is a critical accessibility need for blind individuals, as identifying banknotes accurately can impact their independence and security in financial transactions. Several traditional and technological initiatives have been taken to date. Nevertheless, these approaches are less user-friendly and have made it more challenging for blind people to identify banknotes. This research proposes a user-friendly stand-alone system for the identification of Sri Lankan currency notes. A custom-created dataset of images of Sri Lankan currency notes was used to fine-tune an EfficientDet model. The currency note recognition model achieved 0.9847 AP on the validation dataset and performs exceptionally well in real-world scenarios. The high accuracy and the intuitive interface have enabled blind individuals to quickly and accurately identify currency denominations, ultimately encouraging accessibility and independence.
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