Development of a Visual Aid Tool for Blind People Based on Faster R-CNN

The technology used to help blind people has been developed using various technologies such as an ultrasonic sensor in the form of sonar system in the form of belts and watches. The sonar vision works based on the principle of reflecting a wave with a frequency of 20,000 Hz so that it can be used to...

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Main Authors: ANAM, Khairul (Author), ISWAHYUDI (Author), SUJANARKO, Bambang (Author)
Format: Academic Paper
Published: FAKULTAS TEKNIK, 2021-03-03T03:42:14Z.
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001 repository_unej_123456789_103242
042 |a dc 
100 1 0 |a ANAM, Khairul  |e author 
500 |a http://repository.unej.ac.id/handle/123456789/103242 
500 |a TEKNIK ELEKTRO 
500 |a 1910201 
500 4 1 |u 0005047804 
700 1 0 |a ISWAHYUDI  |e author 
700 1 0 |a SUJANARKO, Bambang  |e author 
245 0 0 |a Development of a Visual Aid Tool for Blind People Based on Faster R-CNN 
260 |b FAKULTAS TEKNIK,   |c 2021-03-03T03:42:14Z. 
520 |a The technology used to help blind people has been developed using various technologies such as an ultrasonic sensor in the form of sonar system in the form of belts and watches. The sonar vision works based on the principle of reflecting a wave with a frequency of 20,000 Hz so that it can be used to determine the distance of an object in a range of up to 3 meters. However, the sonar system cannot identify the object. Computer Vision emerges as one of the most promising solutions. This article focused on developing blind visual aid using a Faster R-CNN identify an object. The Faster R-CNN is instilled on the raspberry pi equipped with a camera. The output is an audio signal about the object and its position refer to the users. The results of this study are able to recognize objects automatically well and accurately. 
546 |a en 
690 |a Faster R-CNN 
690 |a Blind People 
690 |a a Visual Aid Tool 
655 7 |a Article  |2 local 
787 0 |n http://repository.unej.ac.id/handle/123456789/103242 
856 4 1 |u http://repository.unej.ac.id/handle/123456789/103242  |z Get Fulltext