Abstract The loss of sight deeply impacts the lives of numerous individuals across the globe, affecting daily activities and the ability to be independent. New technologies are viewed as potential answers to increase autonomy and inclusion for those with visual disabilities. Despite various tools created to assist with navigation, direction, orientation, and recognizing objects, many are still in the proposal or... The loss of sight deeply impacts the lives of numerous individuals across the globe, affecting daily activities and the ability to be independent. New technologies are viewed as potential answers to increase autonomy and inclusion for those with visual disabilities. Despite various tools created to assist with navigation, direction, orientation, and recognizing objects, many are still in the proposal or prototype phase, with minimal impact on the visually impaired community. A comprehensive systematic review is crucial to assess the present state of assistive technologies, the Internet of Things (IoT), and Computer Vision, highlighting their shortcomings, areas for improvement, and opportunities for new developments. This review aims to explore and summarize both academic and practical literature on assistive devices for individuals with visual impairments. By conducting an extensive search in academic databases like IEEE and Scopus, the review will focus on terms such as computer vision, deep learning, and devices designed for the blind or visually impaired. The selection criteria for studies will ensure a focus on high-quality research, and the review will analyze the latest advancements in assistive devices for the visually impaired, evaluating their strengths and weaknesses as described in the literature. The review will employ the University Isabel I systematic review approach, which involves a manual search of 71 articles from journals, conference proceedings, and books. The results will provide insights for future research, offering a current overview of assistive devices for visual impairments. The identified limitations and areas for enhancement will encourage further research in assistive technologies, IoT, and computer vision. The findings suggest a higher number of publications in the Institute of Electrical and Electronics Engineers (IEEE) journal from the United States, with the primary challenge being technological dependence (16.46%), and the most significant contribution being the accuracy in identifying objects of interest (11.70%). This systematic review seeks to deepen understanding of the current assistive tools for visual impairments, emphasising technological progress in Computer Vision and IoT. It is anticipated that future research will be guided towards developing more effective assistive devices. Read More Read Less

Abstract The objective of this research is to address the challenges faced by individuals with visual impairments when attempting to distinguish among various banknote denominations within the city of Arequipa. It proposes the development of a device that combines computer vision and IoT technology to aid these individuals in identifying the values of different banknotes and objects in their vicinity. This... The objective of this research is to address the challenges faced by individuals with visual impairments when attempting to distinguish among various banknote denominations within the city of Arequipa. It proposes the development of a device that combines computer vision and IoT technology to aid these individuals in identifying the values of different banknotes and objects in their vicinity. This study reviews the latest developments in the field of banknote recognition and object detection, both on a worldwide and local scale, highlighting recent progress in machine learning and computer vision. The research methodology is based on Design Thinking, which encompasses problem understanding (empathy), precise problem definition, idea generation, prototype creation, and effectiveness assessment. The strategy outlines the process for building a banknote image database and incorporating a real-time vision feature into the device. Although testing with the intended users has not yet been carried out, initial findings have been collected to identify areas that require improvement in banknote recognition and object detection. The ultimate aim of this study is to significantly improve the everyday lives of visually impaired individuals in Arequipa by developing a device that simplifies the task of identifying banknotes and objects, offering a ray of hope and optimism for a more inclusive future, utilizing a cost-effective solution that combines computer vision and IoT technology. Read More Read Less

Abstract The continuous advancement of new technologies in the digital era highlights the need to shift from traditional monitoring of university student attendance. Usually, students mark their attendance at the beginning of each class. However, this method can distract students during lectures, and the time it takes for teachers to count attendance significantly increases, particularly in bigger classes. In this context,... The continuous advancement of new technologies in the digital era highlights the need to shift from traditional monitoring of university student attendance. Usually, students mark their attendance at the beginning of each class. However, this method can distract students during lectures, and the time it takes for teachers to count attendance significantly increases, particularly in bigger classes. In this context, this research proposes the development of a mobile application for Android that would simplify the process of tracking and managing attendance for students at the Universidad Católica de Santa María (UCSM) by applying the Extreme Programming (XP) project management strategy. The XP strategy details the app’s entire development and release cycle, with Firebase acting as the Database Manager. Tests were conducted with fourth-year Systems Engineering students from the Faculty of Physical and Formal Sciences and Engineering at UCSM to assess the app. The attendance system was integrated with a database that stores student information and attendance records. Moreover, the app’s interface is designed to display attendance data visually appealing, easy-to-use, and straight-forward forwardly for both teachers and students, providing reassurance and confidence in its usability. The results show that the app’s implementation by UCSM faculty and students makes the attendance tracking process more effective and satisfactory than the conventional methods, as evaluated by the app’s “ASYS” criteria. Read More Read Less