Virtual Eye for Blind

To improve the ability of people who are blind or have significant visual impairments to independently access, understand, and explore unfamiliar indoor and outdoor environments, the purpose a new framework using a single camera to detect and recognize the signs, text and obstacles to give audio as an output. To extract and recognize the text information associated with the detected objects. The first extract text regions from indoor signs with multiple colors. The text character localization and layout analysis of text strings are applied to filter out background interference. The object type, orientation, and location can be displayed as speech for blind travelers. In order to discriminate similar objects in indoor environments, the text information associated with the detected objects is extracted.

Autorentext

Dr. Prakash D B received his Ph.D. Degree from VTU Belgaum. Currently he is working as Assistant Professor in BMS College of Engineering, Bengaluru. He is having more than 8 years of experience in teaching field and published many articles in reputed journals and conferences. His area of interest includes AI techniques to power systems.