Design of a FPGA based Virtual Eye for the Blind

Till date blind people struggle a lot to live their miserable life. Their problems have made them to lose their hope to live in this competing society. They seek help from others to guide them whole day. This project aims to make the blind person fully independent in all aspects. The proposed system is based on “Programmable Gate Arrays (PGA) and Detectors”. This constitutes a virtual eye which communicates to the outside surrounding through a camera. The camera acts as a constant source of information to the system. The data received through the sensors and cameras located in legs and on the head respectively. The received signals from the input devices are processed by gate arrays located in the main processing unit that responds to the blind person through speech processing units. The processed information about surroundings will be informed through the headset (output unit) by which blind people can move and make their work easily on their own. If the person suffers from additional disability, being deaf as well. Then small vibrators can be placed on his legs, based on vibrations he can move safely. KeywordsMajor Proccessing Unit (MPU); Virtual Eye (VE); Object Detector (OD); Infrared(IR); Passive Infrard Detector (PID).

[1]  Zafer Sahinoglu,et al.  Image Transmission over IEEE 802 . 15 . 4 and ZigBee Networks , 2005 .

[2]  O. Urfaliglu,et al.  PIR-sensor based human motion event classification , 2008, 2008 IEEE 16th Signal Processing, Communication and Applications Conference.

[3]  P. Ptasinski,et al.  A GPS based navigation aid for the blind , 2003, 17th International Conference on Applied Electromagnetics and Communications, 2003. ICECom 2003..

[4]  Serge Resnikoff,et al.  Global magnitude of visual impairment caused by uncorrected refractive errors in 2004. , 2008, Bulletin of the World Health Organization.

[5]  Takashi Morie,et al.  An FPGA-based CollisionWarning System Using Hybrid Approach , 2007, 7th International Conference on Hybrid Intelligent Systems (HIS 2007).

[6]  W. Sardha Wijesoma,et al.  Road-boundary detection and tracking using ladar sensing , 2004, IEEE Transactions on Robotics and Automation.

[7]  Dongjian He,et al.  Blind-Road Location and Recognition in Natural Scene , 2009, 2009 WRI World Congress on Computer Science and Information Engineering.

[8]  D. Virkes,et al.  Positioning systems for mobility of the blind, overview and analysis , 2004, Proceedings. Elmar-2004. 46th International Symposium on Electronics in Marine.

[9]  R. Jirawimut,et al.  A stereo vision system for pedestrian navigation , 2003, 17th International Conference on Applied Electromagnetics and Communications, 2003. ICECom 2003..