This paper proposes a dependable and direct way to deal with portable robots (or moving items by and large) indoor following, so as to play out a starter concentrate on their elements. The primary highlights of this methodology are its negligible and minimal effort arrangement and an easy to use understanding of the information produced by the ArUco library. By utilizing a regularly accessible camera, for example, a cell phone one or a webcam, and at any rate one marker for each item that must be followed, it is conceivable to evaluate the posture of these markers, concerning a reference strategically located in the earth, so as to deliver results that are effectively interpretable by a client. This paper presents a straightforward expansion to the ArUco library to produce such easy to understand information, and it gives an exhibition examination of this application with static and moving items, utilizing a cell phone camera to feature the most eminent component of this arrangement, yet in addition its impediments.
Research Article: Global Journal of Technology and Optimization
Research Article: Global Journal of Technology and Optimization
Research Article: Global Journal of Technology and Optimization
Research Article: Global Journal of Technology and Optimization
Review Article: Global Journal of Technology and Optimization
Review Article: Global Journal of Technology and Optimization
Review Article: Global Journal of Technology and Optimization
Review Article: Global Journal of Technology and Optimization
Scientific Tracks Abstracts: Advances in Recycling & Waste Management
Scientific Tracks Abstracts: Advances in Recycling & Waste Management
Posters & Accepted Abstracts: Journal of Biometrics & Biostatistics
Posters & Accepted Abstracts: Journal of Biometrics & Biostatistics
Posters-Accepted Abstracts: Journal of Applied & Computational Mathematics
Posters-Accepted Abstracts: Journal of Applied & Computational Mathematics
Scientific Tracks Abstracts: Journal of Mass Communication & Journalism
Scientific Tracks Abstracts: Journal of Mass Communication & Journalism
Global Journal of Technology and Optimization received 847 citations as per Google Scholar report