Development of a smart cane using Arduino mega for visually impaired

Muniswaran, Thirachiniswary (2024) Development of a smart cane using Arduino mega for visually impaired. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

In the modern generation of IoT (Internet of Things), the improvement of a smart cane and The use of Arduino Mega for visually impaired people is relatively relevant and timely. IoT technological know-how allows the integration of quite a number of devices and sensors, allowing for real-time data collection and analysis. By making use of IoT in the smart cane, it becomes viable to connect the device to the internet and leverage cloud-based offerings for enhanced functionality. Furthermore, the COVID-19 pandemic has brought large challenges for visually impaired individuals, as they frequently depend on contact and physical assistance for navigation. With social distancing measures in place, the desire for technological solutions that can help them navigate independently is even more pronounced. The smart cane, outfitted with IoT capabilities, addresses this difficulty by supplying a revolutionary and accessible device that can aid visually impaired people in a contactless manner. By incorporating IoT technology into the smart cane, it becomes possible to acquire valuable information on the user's surroundings, such as obstacle detection and location information. These statistics can be similarly analysed and utilised to enhance the performance and effectiveness of the smart cane, ensuring a more accurate and reliable navigation journey for visually impaired individuals. In summary, the development of a smart cane using Arduino Mega and IoT technology provides a promising solution to tackle the challenges faced by visually impaired individuals, in particular in the contemporary state of affairs where the necessity for contactless navigation aids is crucial.

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