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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.

Keywords

Assistive Technology Internet of Things ESP32 Smart Cane

Article Details

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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to Cite
Ernovrianto Sirait, R. S. ., Fatmawati, U. D., Putra Sinaga, A. D. ., Rikfi Fahriza, M. ., Ramadan, G. ., Siregar, A., & Lubis, Y. (2026). Development of an ESP32-Based IoT Smart Cane for Multi-Directional Obstacle Detection and Real-Time Monitoring. Jurnal Penelitian, 11(2), 122–131. https://doi.org/10.46491/jp.v11i2.2621

References

  1. Elmannai, W., & Elleithy, K. (2017). Sensor-based assistive devices for visually impaired people: Current status, challenges, and future directions. Sensors, 17(3), 565. https://doi.org/10.3390/s17030565
  2. Farooq, M. S., Shafi, I., Khan, H., De La Torre Díez, I., Breñosa, J., Martínez Espinosa, J. C., & Ashraf, I. (2022). IoT-enabled intelligent stick for visually impaired people for obstacle recognition. Sensors, 22(22), 8914. https://doi.org/10.3390/s22228914
  3. Kathiria, P., Mankad, S. H., Patel, J., Kapadia, M., & Lakdawala, N. (2024). Assistive systems for visually impaired people: A survey on current requirements and advancements. Neurocomputing, 606, 128284. https://doi.org/10.1016/j.neucom.2024.128284
  4. Khera, Y., & Whig, P. (2021). IoT-based novel smart blind guidance system. Journal of Computer Science and Engineering, 2(2), 80–88. https://doi.org/10.36596/jcse.v2i2.172
  5. Mei, J., Surapati, A., & Santosa, H. (2021). Perancangan tongkat untuk tunanetra menggunakan sensor ultrasonik dan sensor water level. Majalah Teknik Simes, 15(1), 46–54. https://doi.org/10.32663/simes.v15i1.1749
  6. Mulyana, A., & Pertiwi, D. E. (2026). Penggunaan tongkat konvensional dan tongkat sensor dalam meningkatkan kemandirian anak tunanetra pada siswa SDLB. JIIP - Jurnal Ilmiah Ilmu Pendidikan, 9(2), 2068–2075. https://doi.org/10.54371/jiip.v9i2.10689
  7. Panacara, P., Siregar, M., & Taryo, T. (2021). Rancang bangun piranti penuntun tongkat pintar untuk penyandang tunanetra berbasis mikrokontroler Arduino. HUMANIS (Humanities, Management and Science Proceedings), 1(2), 774–785.
  8. Pataropura, A., Adhinugraha W, D., Fernand, M., & Kurnia, Y. (2023). Perancangan tongkat pintar sebagai alat bantu jalan untuk meningkatkan kualitas hidup peyandang tunanetra. Rubinstein, 1(2), 91–102. https://doi.org/10.31253/rubin.v1i2.2133
  9. Puspitasari, R., Diamah, A., & Maruddani, B. (2024). Rancang bangun tongkat pintar berbasis Internet of Things (IoT) bagi penyandang tunanetra. Jurnal Pendidikan Vokasional Teknik Elektronika, 7(2), 57–63. https://doi.org/10.21009/jvote.v7i2.54684
  10. Rahmawati, R. Y., & Sunandar, A. (2018). Peningkatan keterampilan orientasi dan mobilitas melalui penggunaan tongkat bagi penyandang tunanetra. Jurnal Ortopedagogia, 4(2), 100–103. https://doi.org/10.17977/um031v4i12018p100
  11. Zakhir, Z., & Maulana, H. (2025). Smart blind stick design using HC-SR04 sensor and ESP 32 based water level sensor to improve the mobility of blind persons. Tsabit Journal of Computer Science, 1(2), 60–67. https://doi.org/10.56211/tsabit32
  12. Zhang, X., Huang, X., Ding, Y., Long, L., Li, W., & Xu, X. (2024). Advancements in smart wearable mobility aids for visual impairments: A bibliometric narrative review. Sensors, 24(24), 7986. https://doi.org/10.3390/s24247986

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