A Modified Cane for the Blind using Computer Vision

Authors

  • William P. Pacardo Computer Department, ACSI College Iloilo, Luna Street, La Paz, Iloilo City, Philippines

DOI:

https://doi.org/10.69478/JITC2024v6n3a06

Keywords:

Computer vision, Ultrasonic sensor, Object detection, Modified cane

Abstract

 This study aimed to develop “A Modified Cane for the Blind using Computer Vision” that can detect possible objects and obstacles from the surroundings. A collection of a large image dataset to develop a model has been divided into three (3) datasets with the ratio of 70% for training, 20% for validation, and 10% for testing. The model was used for a mobile application to detect objects from the surroundings. A series of designs for a mobile application and a modified cane were created until the final prototype was made. The ultrasonic sensors, micro-controllers, and other electronic components were connected and tested for effectiveness and accuracy. The final prototype of a modified cane and the mobile application were combined to create a system called “a modified cane for the blind using computer vision.” The effectiveness of the system was evaluated by five (5) IT experts and five (5) blind persons in terms of functional suitability, reliability, performance efficiency, usability, security, compatibility, maintainability, portability, and the overall result with a mean of 4.46. The results of the evaluation show that the overall mean was “Excellent.” This implies that the system is effective and meets ISO 25010 standards in terms of software quality.

References

I. Mihajlovic, “Everything You Ever Wanted to Know About Computer Vision. Here’s A Look Why It’s So Awesome”, https://towardsdatascience.com/everything-you-ever-wanted-to-know-about-computer-vision-heres-a-look-why-it-s-so-awesome-e8a58dfb641e.

Department of Health, “Eye Health Services Part of Universal Health Care,” https://doh.gov.ph/press-release/eye-health-services-part-of-universal-health-care-doh.

World Health Organization, “Blindness and Vision Impairment”, https://www.who.int/news-room/fact-sheets/detail/blindness-and-visual-impairment.

IBM, “What is Computer Vision?”, https://www.ibm.com/ph-en/topics/computer-vision.

A. K. Jain, Jianchang Mao, K. M. Mohiuddin, “Artificial Neural Networks: A Tutorial”, Computer, vol. 29, no. 3, March 1996, pp. 31-44, https://doi.org/10.1109/2.485891.

S. Iyalunaidu, “Distance Measurement Using Ultrasonic Sensor with Arduino UNO,” Instrumentation Forum, November 2023, https://automationforum.co/distance-measurement-using-ultrasonic-sensor-with-arduino-uno/.

Wenglor Sensoric Group, “Operational Principle and Technology of an Ultrasonic Sensor”, https://www.wenglor.com/en/Operational-Principle-and-Technology-of-an-UltrasonicSensor/s/Funktionsprinzip+und+Technologie+eines+Ultraschall-Sensors.

Robocraze, “What is Ultrasonic Sensor: Working Principle & Applications”, https://robocraze.com/blogs/post/what-is-ultrasonic-sensor.

L. Sherrell, “Evolutionary Prototyping,” in Encyclopedia of Sciences and Religions, A. L. C. Runehov and L. Oviedo (Eds.), Dordrecht: Springer Netherlands, 2013, pp. 803-803. https://doi.org/10.1007/978-1-4020-8265-8_201039.

A. Zakharenko, “What is a Likert Scale?,” Aidaform, May 2023, https://aidaform.com/blog/likert-scale-definition-examples.html.

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Published

2024-09-30

How to Cite

A Modified Cane for the Blind using Computer Vision. (2024). Journal of Innovative Technology Convergence, 6(3). https://doi.org/10.69478/JITC2024v6n3a06

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