## 5 Conclusions  
This study presents a new approach that utilizes sensors and artificial intelligence technology to make it easier for visually impaired people to move safely in indoor buildings. The hardware for the suggested system consists of a standard smartphone, some ultrasonic sensors, and a belt worn around the waist. One of the most novel aspects of the suggested assistive gadget is the software that combines data from ultrasonic sensors with a neutrosophic reasoning-based controller. Despite the object's position, size, or shape, the system is able to confidently identify it as a part of the scene.  
The primary focus of this research is on enhancing popular methods of fuzzy-based indoor object avoidance using neutrosophic logic. The neutrosophic approach uses permutations of three independent factors (truth, indeterminacy, and falsity). On the other hand, the fuzzy approach uses permutations of two independent factors (truth and falsehood) to handle uncertainty. Therefore, the neutrosophic approach is more generalized than the fuzzy approach. Decision-makers and problem-solvers attempt to promote truth and decrease indeterminacy and falsity.  
\begin{table}
\begin{tabular}{c c} \hline \hline
**Obstacle Type** & **Accuracy for Avoiding Obstacles (Average)** \\ \hline Front & 98\% \\ \hline left & 89\% \\ \hline Right & 86\% \\ \hline \hline \end{tabular}
\end{table}
Table 7: Successful detection of obstacle types.  
Extensive experimental assessment using benchmarks and real data from VIPs demonstrates the dependability and robustness of the proposed system. We begin with an objective assessment of the obstacle detection and classification modules, and then go on to provide a subjective assessment of our system by presenting the level of satisfaction and comments from the VIPs who have used our prototype. Subjects deemed our technology to be user-friendly, lightweight, wearable, and unobtrusive, meeting both the hands-free and ears-free criteria. In addition, calculation time is minimized, and warning signals are delivered quickly enough for the VIP to walk properly. In the future, in order to apply more control over one's surroundings, a more in-depth comprehension of the scenario will be required using another type of logic, such as spherical and picture fuzzy sets [61; 62]. Furthermore, the proposed technology may be expanded to recognize other commonplace interior objects including doors, stairs, elevators, signs, text, and furniture.  
Conceptualization, S.M.D.; methodology, S.M.D.; and M.A.S.; software, M.A.S.; validation, S.M.D.; A.A.E., formal analysis, S.M.D. and A.A.E.; investigation, S.M.D., resources, M.A.S.; data curation, M.A.S.; writing--original draft preparation, S.M.D., A.A.E., and M.A.S.; writing--review and editing, S.M.D.; visualization, S.M.D. and M.A.S.; supervision, S.M.D.; project administration, A.A.E. and M.A.S.; funding acquisition, M.A.S. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
The study did not require ethical approval.  
Not applicable.  
The study did not report any data.  
The authors declare no conflict of interest.