Automated Object Recognition with IoT for Visually Impaired Users
JMSV Ravi Kumar, M. Babu Reddy, Maregowdagari Srikanth, Debanti Giri · 2024
To aid the visually impaired in leading more autonomous lives, this paper is being considered. Nowadays, technology plays a significant role in meeting everyone’s requirements in our technologically advanced society. In the lives of those with physical disabilities, it is also extremely important. Now let’s talk about blind individuals. No matter how modern the technology is, they might still not be able to use it since they can’t see. They are entirely reliant on other people for even the most menial of tasks, not to mention equipment. We suggested a gadget with cutting-edge tech that would enable the visually impaired to accomplish their own tasks instead of relying on others, thus addressing the aforementioned gaps in accessibility. For object detection, the app uses image processing techniques, and for voice output, it employs speech synthesis. The technology aims to provide visually impaired people with real-time audio or vocal information about things scanned by their mobile cameras. A substantial and extensively researched subject in computer vision, picture detection on moving objects has found applications in domestic, commercial, and industrial settings. Current methods have a number of drawbacks, such as poor accuracy and performance that stem from issues like not analysing the trained data enough, being too dependent on object motion, and not being able to distinguish between objects. So, to quickly and accurately recognise the item, the Fast R-CNN (region-based convolutional neural networks) technique has been used. People who are visually impaired can get around with the help of a speech synthesiser and the damage that it detects.