Voice Assistant System with Object Detection Technology for Visually Impaired

Approved

Relevance and Originality

This paper tackles a significant societal challenge by addressing the navigation and daily functioning obstacles faced by visually impaired individuals. The proposed object detection system and voice assistant represent an original approach to enhancing independence for this demographic, offering a more reliable alternative to traditional solutions like white canes and voice assistants. The integration of technologies such as Arduino Uno and YoloV7 within an Android-powered system is particularly relevant in today’s context, where advancements in artificial intelligence and robotics can provide innovative solutions for accessibility issues.

Methodology

The methodology employed in this research is well-defined, integrating both hardware and software components to create an effective object detection and navigation system. The use of controlled settings to replicate real-world scenarios is commendable, as it allows for a more accurate assessment of the system’s effectiveness. However, more details on the specific parameters for the experiments and the criteria used for evaluating the system’s performance would enhance the methodology. Additionally, a comparative analysis with existing technologies could strengthen the validation of the proposed solution.

Validity & Reliability

The results presented in the paper suggest that the system can assist visually impaired individuals in navigation, yet the current data appears insufficient for drawing firm conclusions about its overall effectiveness. To improve reliability, the paper could benefit from a larger sample size in future studies and a more comprehensive analysis of different environmental conditions. Discussing potential biases in the data collection process and addressing any limitations in the experimental design would also contribute to the validity of the findings.

Clarity and Structure

The paper is generally well-structured, but some sections could be clearer, particularly in articulating the problem statement and how the proposed system addresses it. Simplifying technical jargon and enhancing explanations of complex concepts, such as object detection and trajectory calculation, would make the paper more accessible to a broader audience. Incorporating visual aids, such as diagrams or flowcharts, to illustrate the system's design and functionality would also enhance clarity.

Result Analysis

The analysis of results indicates that the proposed device can improve navigation for visually impaired users, which is promising. However, a more detailed presentation of the results, including quantitative metrics and performance comparisons with traditional aids, would provide a more robust understanding of its advantages. Additionally, discussing user feedback and real-world usability tests could offer valuable insights into the practical implications of the technology. Addressing the potential challenges faced during implementation and suggestions for future improvements would further strengthen the analysis and contribute to the ongoing development of assistive technologies.