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OBJECT DETECTION SYSTEM FOR THE BLIND WITH VOICEGUIDANCE

Rajeshvaree Ravindra Karmarkar, Prof. Vikas. N Honmane

Year
2021
Citations
15
Access
Open access

Abstract

—As object recognition technology has developed recently, various technologies have been applied to autonomousvehicles, robots, and industrial facilities. However, the benefits ofthese technologies are not reaching the visually impaired, who need it the most. This paper proposed an object detection system for the blind using deep learning technologies. Furthermore, a voice guidance technique is used to inform sight impaired persons as to the location of objects. The object recognition deep learning model utilizes the You Only Look Once(YOLO) algorithm and a voice announcement is synthesized using text-tospeech (TTS) to make it easier for the blind to get information about objects. Asa result, it implements an efficient object-detection system that helps the blind find objects in a specific space without help from others, and the system is analyzed through experiments to verify performance.

Keywords

Computer scienceObject (grammar)SightArtificial intelligenceComputer visionObject detectionCognitive neuroscience of visual object recognitionDeep learningSpace (punctuation)Robot

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