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Evaluation of CPU And RAM Performance for Markerless Augmented Reality

  • Tagred A. Alkasmy (Department of Computer Science & Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah) ;
  • Rehab K. Qarout (Department of Computer Science & Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah) ;
  • Kaouther Laabidi (Department of Computer Engineering and Networks, College of Computer Science and Engineering, University of Jeddah)
  • Received : 2023.10.05
  • Published : 2023.10.30

Abstract

Augmented Reality (AR) is an emerging technology and a vibrant field, it has become common in application development, especially in smartphone applications (mobile phones). The AR technology has grown increasingly during the past decade in many fields. Therefore, it is necessary to determine the optimal approach to building the final product by evaluating the performance of each of them separately at a specific task. In this work we evaluated overall CPU and RAM performance for several types of Markerless Augmented Reality applications by using a multiple-objects in mobile development. The results obtained are show that the objects with fewer number of vertices performs steady and not oscillating. Object was superior to the rest of the others is sphere, which is performs better values when processed, its values closer to the minimum CPU and RAM usage.

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References

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