Multi-Objective Smart Cane for Blind People Navigation with Color Sonification Technique
Journal: International Journal of Science and Research (IJSR) (Vol.6, No. 5)Publication Date: 2017-05-05
Authors : Naveen Kumar V; Aravinda C V;
Page : 1759-1763
Keywords : Ultrasonic Sensor; Raspberry Pi; MEMs accelerometer sensor; Color Sonification;
Abstract
Visual weakness is one of the genuine term used as a piece of today's population due to physiological or neurological division. The fractional visual impairment infers the absence of incorporation in development of optic nerve and aggregate visual impairment suggests nonattendance of visual light recognition. Visual impedance is one of the genuine term used as a piece of today's population due to physiological or The work melds clear, poor and particularly masterminded client wonderful ostensibly weakened bearing show wanted to enhance the adaptability of the apparently impaired people. The proposed work intertwines a wearable gear contains head top and little scale hand stick to help the apparently prevented individual to explore alone securely and to sidestep any deterrents that might be experienced, paying little regard to whether settled or smaller, to keep any conceivable disaster. Urological division. The primary part of this framework is the ultrasonic sensor, sensor which is utilized to output zone around visually impaired by radiating reflecting radio waves. The reflected signs gotten from the boundary articles are utilized as contributions to Raspberry Pi processor. The Processor is then used to decide the heading and separation of the articles around the visually impaired. A Camera is interfaced with the Raspberry Pi to give the thoughts regarding the items close to the individual and believers into a sound flag called the shading Sonification. At that point the Smart stick would have the ultrasonic sensor that would help in finding the pot openings in the way they are moving. A fall recognition sensor would caution the general population around by giving a hoot sound. For fall recognition a MEMs based accelerometer sensor is utilized.
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