R. R. Raghavan

Bio: R. R. Raghavan is an academic researcher from SRM University. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.

Text and label reading using Raspberry Pi and Open CV

Abstract: In this digital Age with the help of our cognitive abilities, we can see, hear and sense various new technologies and can communicate with them but this is not the case for visually impaired people In order for them to communicate with the world they need assistive technology and adaptive devices. The key idea of the project involves helping the sight challenged people. The Proposal of the project involves capturing an image with the help of a camera, recognizing it and extracting the content in the image using various data algorithmic techniques. With the help of this model people with blindness can be more independent with confidence. The major step in making this project a reality is to obtain images from the real world and recognize them with little to no latency and convert them into audio files that can be played. This can be executed out with the help of Open CV and Raspberry pi the main usage of the latter is its portability and compatibility which can be achieved with the use of battery backup functionality which can also be used for future endeavors. The size of the Raspberry pi soc permits the user to carry it anywhere and use it.

Smart Reader for Visually Impaired People Using Raspberry Pi

Abstract: Nowadays realtime hardware implementation of Text to Speech and Speech to text conversion systems playing a crucial role in several real time applications such as reading aid for blind people and talking aids for vocally handicapped people and robotics etc. This paper describes the design and implementation of a system which involves conversion of text information present in the image to speech information and conversion of speech information given by user into text information. In this context raspberry pi has been chosen as a hardware platform to implement the proposed method. For the implementation proposed system Logitech C170 camera module and Bluetooth HC-05 module were interfaced to raspberry pi device. The concept used in this project are tesseract OCR(Optical Character Recognition),espeak TTS(Text to Speech) engine,AMR(android meets robots) voice to text application software. The code which is used in the proposed system is used in the python programming language. The proposed system which is implemented on raspberry pi is used for many real time applications.