Audio Assist: Enabling Object Detection Through Speech for the Visually Impaired

Object detection based on deep learning is an essential application in deep learning technology, which is distinguished by its superior feature learning and feature representation capabilities when compared to traditional object identification approaches. Generally, the normal people can identify where the objects are located easily but it’s not that easy for visually impaired people to identify the objects and its location. Also, it is very challenging to create a computer model to identify the objects. Actually, the object detected will be appear on the screen but it’s not useful for visually impaired that’s why we are using Audi Assist which helps us to convert text to speech. And we are enabling the audio assist technology to gives the audio output after identifying the object. And it describes where the object is it located. This study utilizes a large dataset of objects like mobiles,water bottle, cups and many more. This model is not only trained to detect objects also detects persons. This technology has enormous promise for increasing the freedom and safety of visually impaired people by allowing them to explore and interact with their surroundings more confidently and efficiently. It is a big step towards inclusion and accessibility in our quickly expanding technology ecosystem. The objects detected are translated into meaningful audio cues, providing immediate to user.