Transparent Peer Review By Scholar9
Voice Assistant System with Object Detection Technology for Visually Impaired
Abstract
Navigation, object recognition, obstacle avoidance, and reading provide substantial obstacles for visually impaired people, impeding their independence and day-to-day functioning. Current solutions, including standard voice assistants and white canes, either offer little help or cause privacy issues since they rely too much on the cloud. In order to fully address these issues, we suggest an inventive offering an object detection system and voice assistant powered by Android to assist the blind with problems they face on a daily basis The system incorporates the Arduino Uno, YoloV7 for object detection, and Android for the camera module. The complete apparatus is small and light, making it easy to mount anywhere. The assessments are carried out in controlled settings that replicate situations that a blind person could face in the real world. The suggested device allows visually impaired people to be more accessible, comfortable, and able to navigate more easily than the white cane, according to the results. People with visual impairments sometimes struggle to traverse complicated situations effectively. It is also no easy assignment to assist them in becoming perceptive navigators. In ocular individuals, cognitive maps derived. The system finds potential obstructions in the user's path, calculates the user's trajectory, and provides navigational data. Two experimental scenarios have been used to assess the solution. While the data is currently insufficient to draw firm conclusions, it does show that the technology can effectively assist visually impaired individuals in navigating an unfamiliar built environment.
Chinmay Pingulkar Reviewer
15 Oct 2024 05:22 PM
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.
IJ Publication Publisher
thankyou sir
Chinmay Pingulkar Reviewer