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All Journal Jurnal Penelitian
Azhari Diansyah Putra Sinaga
Universitas Pertahanan RI
Aerospace Engineering Education Electrical & Electronics Engineering Transportation

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Development of an ESP32-Based IoT Smart Cane for Multi-Directional Obstacle Detection and Real-Time Monitoring Raja Satria Ernovrianto Sirait; Uvi Desi Fatmawati; Azhari Diansyah Putra Sinaga; Muhammad Rikfi Fahriza; Guntur Ramadan; Annisa Siregar; Yosephine Lubis
Jurnal Penelitian Vol. 11 No. 2 (2026): Jurnal Penelitian Agustus 2026
Publisher : Politeknik Penerbangan Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46491/jp.v11i2.2621

Abstract

Visual impairment limits independent mobility due to difficulties in recognizing obstacles and environmental conditions. This study aims to develop an ESP32-based Internet of Things (IoT) smart cane to improve navigation safety and real-time monitoring for visually impaired users. The proposed system integrates three ultrasonic sensors for multi-directional obstacle detection, a water level sensor for puddle detection, a DFPlayer Mini with speaker for audio feedback, a vibration motor for tactile feedback, and a GPS module connected to a Telegram Bot for location monitoring. The prototype was designed and evaluated through functional testing of each subsystem and overall system performance. The results show that the smart cane successfully detects obstacles, provides audio and vibration warnings, and transmits user location information remotely. The developed system demonstrates the potential of IoT-based assistive technology to support safer and more independent mobility for visually impaired users.
Co-Authors Annisa Siregar Guntur Ramadan Muhammad Rikfi Fahriza Raja Satria Ernovrianto Sirait Uvi Desi Fatmawati Yosephine Lubis