Voice Guided Object Detection: Enabling Independence for the Visually Impaired
R. Raja Subramanian, Lagisetty Ravikiran, Kota Venkata Pavan Teja, Kondamarri Venkatesh Reddy, Kypu Nagendra Reddy · 2024
Ordinary individuals can usually find the locations of the things with ease. For those who are blind or visually challenged, however, identifying the items and their locations is not that simple. However, building a computer model to recognize the items is exceedingly difficult. The thing that has been spotted will really show up on the screen, but it is not helpful for those who are blind or visually impaired, which is why we employ Audi Assist to help us translate text to audio and through ESP32 cam Module, the blind person can able to visualize the which is integrated with cap. Additionally, after detecting the item, we are activating the audio aid technology to provide the audio output. Additionally, it gives the object's location. We are making use of an enormous dataset of common goods, such as phones, water bottles, glasses, and many more. This model has been taught to identify people in addition to objects. Thanks to this technology, visually impaired persons may explore and engage with their environment more effectively and confidently, which increases their independence and sense of safety. It's a significant step towards accessibility and inclusivity in our rapidly growing digital community. The user receives quick feedback when objects are recognized through the translation of significant auditory signals.