Face Recognition with Audio Output: An Aid for the Visually Impaired | IEEE Conference Publication | IEEE Xplore

Face Recognition with Audio Output: An Aid for the Visually Impaired


Abstract:

80 percent of human perception comes through the sense of sight. The human eye provides us with vision, which allows us to understand more about the world than the other ...Show More

Abstract:

80 percent of human perception comes through the sense of sight. The human eye provides us with vision, which allows us to understand more about the world than the other four senses combined. However, not everyone is born with good or great vision. According to a recent survey, at least 2.2 billion individuals worldwide suffer from near or distance vision impairment. The inability to recognize individuals in large groups is a disadvantage for disoriented people in a range of professional and educational circumstances. Vision impairment has been treated in at least a billion or almost half of these instances. Recognition of persons, things, and routes is without a doubt one of the most significant deterrents for visually impaired individuals which restricts their freedom of movement. It is not always appropriate to identify someone just based on their voice. To recognize that someone is in front of them, the visually challenged require assistance to avoid any trickery and make them feel safe. Like the Braille System, which helps visually impaired people read and write, there is optimism that in the near future, technology may help blind people identify faces more quickly. This framework's goal is to assist the client in recognizing persons without the aid of a third party.
Date of Conference: 21-23 September 2022
Date Added to IEEE Xplore: 29 December 2022
ISBN Information:
Conference Location: Coimbatore, India

I. Introduction

Image processing is the methodology employed to either get an enhanced image or extract useful information from the image. The proposed model has used image processing techniques to achieve an accurate face recognition model. Thus, image processing forms the foundation of the proposed model. Further modifications are made in order to make the model more advance. These points are highlighted later in the article. The main objective of this project is to provide a fresh hypothetical strategy in order to assist visually impaired people. Our model aims to ease some significant problems faced by the visually impaired in today's world and in the process helps increase security and independence in them. The paper also enlists the shortcomings of the project and describes features that can be integrated in the future for more efficient working.

References

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