Year: 2025
Type: article
Abstract: Navigating the world can be extremely hard for millions suffering from visual impairment. A revolutionary program called Echo Guidance looks to alleviate these concerns by leveraging voice-activated communication and an Arduino powered IoT smart assistive device for obstacle detection utilizing ultrasonic, GPS, and Wi-Fi modules. This paper focuses on the structure and evaluation of Echo Guidance by demonstrating its advanced algorithms for real-time object recognition, such as RGB888, matrix transformation, and optical character recognition (OCR). Echo Guidance integrates daily functions like weather updates, to-do lists, and even a calculator into an easily accessible interface that is controlled through voice to accommodate those that are visually impaired. The heart of Echo Guidance is Tesla's unique approach to object detection and recognition that utilizes the TensorFlow Lite MobileNetObjDetector class for fast and precise identification of objects. The Overlay View class gives spatial relations of selected objects by showing a picture of them. The addition of IoT devices, such as the smart stick equipped with head-level and ultrasonic obstacle identification sensors, as well as SOS emergency, GPS and WiFi modules, further enhances the capabilities of Echo Guidance. It underscores the fact that Echo Guidance, being one of the remarkable advancements of assistive technology, can make a huge difference in improving the life of the people who have vision impairment. This paper will enable people around the world to have greater control and confidence to move around her environment by focusing on the accessibility and user experience of the technology
Author: Mrs. K. S. Deveswari
Language: English
Subfield: Occupational Therapy
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4408910883