In today's society, where independent living is becoming increasingly important, it can be extremely constricting for those who are blind. Blind and visually impaired (BVI) people face challenges because they need manual support to prompt information about their environment. In this work, we took our first step towards developing an affordable and high-performing eye wearable assistive device, DRISHTI, to provide visual navigation assistance for BVI people. This system comprises a camera module, ESP32 processor, Bluetooth module, smartphone and speakers. Using artificial intelligence, this system is proposed to detect and understand the nature of the users' path and obstacles ahead of the user in that path and then inform BVI users about it via audio output to enable them to acquire directions by themselves on their journey. This first step discussed in this paper involves establishing a proof-of-concept of achieving the right balance of affordability and performance by testing an initial software integration of a currency detection algorithm on a low-cost embedded arrangement. This work will lay the foundation for our upcoming works toward achieving the goal of assisting the maximum of BVI people around the globe in moving independently.
翻译:在当今社会,独立生活变得日益重要,对盲人来说,它可能极为紧凑。盲人和视力障碍者(BVI)面临挑战,因为他们需要人工支持,以获得有关其环境的信息。在这项工作中,我们迈出了第一步,开发一个负担得起和高性能的眼损辅助装置DriishTI,为BVI人民提供视觉导航援助。这个系统包括一个照相模块,ESP32处理器、蓝牙模块、智能手机和讲者。使用人工智能,这个系统旨在探测和理解使用者在这条道路上的道路和障碍的性质,然后通过音频输出告知BVI使用者,使他们能够在旅途中获得方向。本文讨论的第一个步骤是通过测试一种初步的软件,将货币检测算法与低成本嵌入式安排结合起来,从而确立一种正确兼顾承受能力和业绩的概念。这项工作将为我们即将开展的工作奠定基础,以便实现帮助全球范围内最大程度的BVI人民独立前进的目标。</s>