在树Pi上使用人工智能驱动的BlindSpot VisionGuide系统,以提高视力受损用户的独立性
M Sudha1, S Swaminathan2, M Suba2
1Department of ECE/Srinivasa Ramanujan Centre, SASTRA Deemed to Be University, Kumbakonam, India. sudha@src.sastra.edu.
Scientific reports
|February 27, 2026
概括
盲点视觉指南 (BlindSpot-VisionGuide) 是一种由人工智能驱动的系统,为视力受损者提供实时音频辅助. 这种语音控制平台通过提供面部识别,图像描述和新闻阅读功能来增强独立性.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 辅助技术 辅助技术 辅助技术
背景情况:
- 视障人士在日常工作和独立生活中面临着重大挑战.
- 现有的辅助技术往往缺乏整合,实时交互或负担能力.
研究的目的:
- 开发和评估BlindSpot-VisionGuide,这是一个集成的,基于人工智能的视力障碍者辅助系统.
- 为视力受损用户提供实时音频反,以提高独立性.
主要方法:
- 集成了三个核心的人工智能功能:面部识别 (深层面部嵌入),图像标题 (BLIP模型) 和在线报纸阅读 (API驱动的文字转化为语音).
- 开发了一个集中式语音接口,以便与所有系统模块无互动.
- 在Raspberry Pi硬件上部署系统,优化离线使用和低功耗.
主要成果:
- 盲点视觉指南系统在Raspberry Pi 5上的所有模块上都表现出可靠的性能.
- 实验证实了有效的识别准确性,可接受的响应时间和可管理的内存消耗.
- 该系统成功地平衡了计算需求与实际应用的用户友好性.
结论:
- 盲点视觉指南展示了嵌入式人工智能的实际应用,用于创建可扩展和包容的辅助技术.
- 该系统为下一代基于视觉的可访问性解决方案提供了基础模型.
- 潜在的扩展包括对象检测,多语言支持和护理人员集成以进一步增强.
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