Research Article
Vision Navigator: A Smart and Intelligent Obstacle Recognition Model for Visually Impaired Users
Table 4
Confidence level analysis of Vision Navigator using pilot study.
| User | Visually challenged degree | Intelligence level of Smart Fold Cane | Efficiency level of Smart Alert Walker | Accuracy level of SSD-RNN- based Object Detection | Overall Confidence level |
| P1 | High | High | High | High | High | P2 | High | Low | High | High | High | P3 | Moderate | ā | Low | High | High | P4 | High | High | Moderate | Moderate | Moderate | P5 | Moderate | High | Moderate | High | High | P6 | Moderate | High | High | Low | High | P7 | High | Moderate | High | High | High | P8 | Low | High | High | Moderate | Moderate | P9 | High | High | High | High | High | P10 | High | Low | High | Moderate | Moderate |
|
|