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AI-Based Smart Cane for the Blind Using Raspberry Pi 3B

Journal of Communication Systems, Networks, and Security · Vol. 1 No. 1 (2026) · hlm. 20–27

DOI
10.68129/jcsns.v1i1.48
ISSN
3163-5539
Terbit
2026-07-20
Penerbit
Politeknik Elektronika Negeri Surabaya
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

The eye is one of the human sensory organs that plays an important role in human life. The main function of the eye is to record the surrounding conditions, so that it can provide information in everyday life. People who have visual impairments are called blind. This limitation is one of the causes of disruption in the daily activities of blind people. Therefore, in their daily activities, blind people use assistive devices, such as canes. In this study, the author will create a system that can later be implemented in a cane with features to facilitate the activities of blind people. This cane has a camera that captures object images, which are later processed by the Raspberry Pi 3B+ using the Faster R-CNN algorithm. Faster R-CNN is a deep learning method used to detect objects in images. In addition, this cane is equipped with several supporting sensors, including an HC-SR04 ultrasonic distance sensor and a water level sensor for detecting water puddles. The output of all systems is sound, transmitted via wireless earphones and a buzzer as an information source/alarm for the visually impaired. The results of this research can assist the visually impaired by providing an assistive device for daily activities.

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  • Politeknik Negeri Malang
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Rekan penulisOrganisasiArtikel bersama
Anang BudikarsoAfiliasi tidak diketahui2
Budi AswoyoAfiliasi tidak diketahui2
Afina Nabila DirganingsihAfiliasi tidak diketahui1
Yoedy MoegihartoAfiliasi tidak diketahui1
Mohammad RidwanAfiliasi tidak diketahui1
Urifah Nur RohmahAfiliasi tidak diketahui1
Ida AnisahAfiliasi tidak diketahui1
Nailul MunaPoliteknik Negeri Malang1
Muhammad Edo ListiawanAfiliasi tidak diketahui1
Nihayatus Sa'adahAfiliasi tidak diketahui1
Karimatun Nisa'Afiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journals.pens.ac.id/index.php/jcsns/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">AI-Based Smart Cane for the Blind Using Raspberry Pi 3B</dc:title>
	<dc:creator xml:lang="en">Muchammad Yahya Ma’ruf</dc:creator>
	<dc:creator xml:lang="en">Faridatun Nadziroh</dc:creator>
	<dc:creator xml:lang="en">Paramitha Eka Wahyu Lestari</dc:creator>
	<dc:subject xml:lang="en"> Blind, Cane, Faster R-CNN, Raspberry Pi;</dc:subject>
	<dc:description xml:lang="en">The eye is one of the human sensory organs that plays an important role in human life. The main function of the eye is to record the surrounding conditions, so that it can provide information in everyday life. People who have visual impairments are called blind. This limitation is one of the causes of disruption in the daily activities of blind people. Therefore, in their daily activities, blind people use assistive devices, such as canes. In this study, the author will create a system that can later be implemented in a cane with features to facilitate the activities of blind people. This cane has a camera that captures object images, which are later processed by the Raspberry Pi 3B+ using the Faster R-CNN algorithm. Faster R-CNN is a deep learning method used to detect objects in images. In addition, this cane is equipped with several supporting sensors, including an HC-SR04 ultrasonic distance sensor and a water level sensor for detecting water puddles. The output of all systems is sound, transmitted via wireless earphones and a buzzer as an information source/alarm for the visually impaired. The results of this research can assist the visually impaired by providing an assistive device for daily activities.</dc:description>
	<dc:publisher xml:lang="en">Politeknik Elektronika Negeri Surabaya</dc:publisher>
	<dc:date>2026-07-20</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.pens.ac.id/jcsns/article/view/48</dc:identifier>
	<dc:identifier>10.68129/jcsns.v1i1.48</dc:identifier>
	<dc:source xml:lang="en">Journal of Communication Systems, Networks, and Security; Vol. 1 No. 1 (2026): April; 20-27</dc:source>
	<dc:source>3163-5539</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.pens.ac.id/jcsns/article/view/48/48</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Muchammad Yahya Ma’ruf, Faridatun Nadziroh, Paramitha Eka Wahyu Lestari</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>