Enhanced Image Analysis Using Cached Mobile Robots

TL;DR

This paper proposes methods to improve the speed of image processing in mobile robots by optimizing search techniques, enabling faster decision-making crucial for robots operating in hazardous environments.

Contribution

It introduces an optimized search method for image comparison in mobile robots, reducing decision-making delays caused by reliance on centralized databases.

Findings

Optimized search technique reduces image processing time.

Faster decision-making enhances robot performance in dangerous environments.

Improved image analysis leads to more reliable autonomous operations.

Abstract

In the field of Artificial intelligence Image processing plays a vital role in Decision making. Nowadays Mobile robots work as a Network sharing Centralized Database. All Image inputs are compared against this database and decision is made. In some cases the Centralized database is in other side of the globe and Mobile robots compare Input image through satellite link this sometime results in delays in decision making which may result in castrophe. This Research paper is about how to make image processing in mobile robots less time consuming and fast decision making. This research paper compares search techniques employed currently and optimum search method which we are going to state. Nowadays Mobile robots are extensively used in environments which are dangerous to human beings. In this dangerous situations quick Decision making makes the difference between Hit and Miss this can also results in Day to day tasks performed by Mobile robots Successful or Failure.