Abstract:
The majority of industrial environments and homewares need help when exploring
unknown locations owing to a lack of understanding about the building structure and the various
impediments that may be faced while transporting products from one spot to another. This is
because there is a lack of knowledge about the building structure and the potential obstacles that
may be encountered. This paper provides “Computer Vision-Based Navigation Robot” as a
strategy for indoor navigation with optimal accessibility, usability, and security, decreasing issues
that the user may encounter when traveling through indoor and outdoor areas with real-time
monitoring of the most up to date IoT technology. The article is titled “Indoor Navigation with
Optimal Accessibility, Usability, and Security.” This article proposes “Computer Vision-Based
Navigation Robot” as a solution for interior navigation that provides optimum accessibility,
usability, and security. This is done in order to tackle the issue that was presented before. Since
the readers of this post include people who work in industry as well as physically challenged
people who live alone, CVBN Robot takes object-based inputs from its surroundings. This is
because the audience for this essay includes both groups of people. This study also covers a
variety of methods for localization, sensors for the detection of obstacles, and a protocol for an
Internet of Things connection between the server and the robot. This connection enables real-time
position and status updates for the robot as it navigates a known but unknown interior
environment. In addition, this study covers a variety of methods for localization, sensors for the
detection of obstacles, and a protocol for an Internet of Things connection between the server and
the robot.
