To date, there are increasing complexities for the visually impaired person who totally depends upon the white canes which escorts them through the roads or there is always a sense of helplessness which makes them dependent on friends and relatives. This paper presents an effective navigation system for the blind people which will increase their mobility thereby creating a friendly environment for them to live in. "Nav Drishti" is a portable unit consisting of ultrasonic sensors, Android based cell phone, PIC 18 microcontroller chip, Bluetooth module and vibration sensors. Obstacles on the path will be detected by Ultrasonic sensors. Information about these obstacles will be conveyed to the users through vocal prompts. In addition to this directions will be provided to them enabling them follow the right path to reach the destination step-by-step. This assistive technology is cost effective and will greatly facilitate the blind person in their day to day life making them self-reliant. Future work will be done to develop the system for face recognition as well as for detecting different types of obstacles.

1. http://www. languageinindia. com/dec2008/sheelavisuallychallenged. html
2. http://www. worldaccessfortheblind. org/node/103
3. G. Dagnelie and R. Massof, ''Toward an artificial eye,'' IEEE Spectrum, vol. 33, pp. 20–29, May 1996.
4. http:/www. livestrong. com/article/241936-challenges-that-blind-peopele-face/
5. http://www. pixelonomics. com/shoe-for-visually-impaired-le-chal/
6. N. G. Bourbakis and D. Kavraki, ''Tyflos—An intelligent assistant for naviga-tion of visually impaired people,'' in Proc. IEEE Symp. BIBE-01, Bethesda, MD, Nov. 2001, pp. 230–235.
7. M. Maas and N. Bourbakis, ''A methodology for the fusion of laser and image data for 3-D modeling of an unknown space,'' TR-1993, AAAI Research Lab, EE, Binghamton University.
8. G. Dagnelie and R. Massof, ''Toward an artificial eye,'' IEEE Spectrum, vol. 33, pp. 20–29, May 1996.
9. N. Bourbakis and S. Tzafestas, ''Robotics and bioengineering for people with disabilities,'' IEEE Robot. Autom. Mag. , vol. 10, no. 1, p. 3, 2003.
10. Riegl Laser Measurement SystemsRiegl USA Inc. 4419 Parkbreeze Court, Orlando, FL, 1993.
11. M. Asada, ''Building a 3D world model for mobile robots from sensing data,'' in Proc. IEEE Conf. Robotics and Automation, 1988, pp. 918–923.
12. M. Adjouadi, ''A man-machine vision interface for sensing the environment,'' J. Rehabil. Res. Dev. , vol. 29, no. 2, pp. 57–76, 1992.
13. S. K. Park and I. S. Kweon, ''Robust and direct estimation of 3D motion and scene depth from stereo image sequences,'' Pattern Recogn. , vol. 34, no. 9, pp. 1713–1728, 2001.
14. R. N. Pal and K. S. Pal, ''A review on image segmentation techniques,'' Pat-tern Recogn. , vol. 26, no. 9, pp. 1277–1294, 1993.
15. A. Moghddamzadeh and N. G. Bourbakis, ''Segmentation of color images with highlights and shadows using fuzzy reasoning,'' in Proc. SPIE, vol. 2411, pp. 300–310, 1995.
16. N. Bourbakis, "Motion analysis and associations for guiding visual impaired"-presented at IEEE Workshop on Assistive Technologies for Disabled and Elderly, Greece, July 2007.
17. NIST, ''AIR blind navigation system,'' 2002.
18. ''TORRES, the Spanish project for blind navigation,'' ESA, Spain, 2003.
19. C. Jacquet, Y. Bellik, and Y. Bourda, ''A context-aware locomotion assis-tance device for the blind,'' in Proc. ICCHP-04 Conf. , France, July 2004.
20. D. Kavraki and N. Bourbakis, ''Intelligent assistants for disable peoples' independence: A case study,'' in Proc. IEEE Symp. Intelligent Systems, Baltimore, MD, Nov. 1996, pp. 337–344.
21. http://en. wikipedia. org/wiki/Facial_recognition_system

Blind Ultrasonic Sensor Microcontroller Staircase Indication Android App. Gps Vibration Sensors Face Recognition Using Android Device With Built In Camera Bluetooth Module