Table 6.
Different types of prototypes and algorithms used in that model which can used by visually impaired person.
Prototype | Functionalities | Algorithms |
---|---|---|
Helmet with omnidirectional camera and sensors(IMUs), backpack with laptop |
Indoor positioning, tracking, and indoor scene recognition |
Simultaneous localization and mapping algorithm (SLAM) |
Stereo camera mounted on a helmet, smartphone, web application, and a cloud platform |
Indoor positioning, object detection and recognition, OCR, Speech processing |
Vision-based SLAM, Deep CNN based models |
A head-mounted RGB-D camera, a laptop, a haptic feedback vest, a smartphone user interface, andIMU sensors |
Indoor positioning and navigation with haptic feedback. |
Vision based SLAM algorithm |
Google Glass for capturing the image and server for object classification |
Obstacles detection | AlexNet CNN model |
Single camera mounted on Raspberry Pi board |
Object detection and recognition, Distance estimation |
YOLO object detection algorithm, Distance estimation algorithm |