StepSure: Smart Backpack for Blind Children Using IoT Device and Machine Learning

Abstract

This research article presents "STEPSURE," a revolutionary smart backpack that is aimed to better the safety and day-to-day lives of children who are sight impaired. In contrast to traditional aids, which frequently center their attention on a single functionality, STEPSURE integrates many functions to give full protection against physical risks and accidental accidents. The backpack enables real-time obstacle detection by utilizing powerful object detection algorithms, one of which is the YOLOv5 architecture. Additionally, the backpack has an integrated voice command system, which provides quick user notifications. In addition, it utilizes a fall detection mechanism that is based on a gyroscope, and it integrates both GPS and mobile app technology so that it can offer a speedy reaction and monitor the position of the user in the event of an emergency. The usability of the backpack is increased by the addition of a water leak detecting system, which also helps to protect the contents of the bag. This comprehensive approach represents a big step forward in the development of assistive technology, since it addresses the distinct difficulties that are experienced by visually impaired children and highlights the significance of human-centric innovation. The STEPSURE system is a prime example of the potential for inclusive and transformational technology to save lives and make the world a safer place.