A Modified Cane for the Blind using Computer Vision

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.