Arduino Object Follower with Augmented Reality

  • Authors

    • T Prem Jacob
    • A Pravin
    • P Asha
    https://doi.org/10.14419/ijet.v7i3.27.17665

    Received date: August 16, 2018

    Accepted date: August 16, 2018

    Published date: August 15, 2018

  • Augmented reality, ARkit, node MCU, Vuforia, Unity 3D.
  • Abstract

    This research works we use augmented reality SDK to find the walls and ceilingwhich it sends back to your workstation giving you a digitalrepresentation of your environment.This research work utilizes an Arduino robot running an ESP- 8266 Node MCU that conveys with anandroid mobile phone. The android mobile run an application made in the computer game application Unity 3D. The robot will follow an object using Vuforia's client targets so you can make a trackable object at runtime as long as it has sufficient feature points. We have used the Apple's ARkit for identifying the horizontal and vertical planes.

  • References

    1. Xavier RS, da Silva BM & Gon LM, “Accuracy Analysis of Augmented Reality Markers for Visual Mapping and Localization”, Workshop of Computer Vision, (2017), pp.73-77. IEEE.
    2. Mahabalagiri A, Ozcan K & Velipasalar S, “Camera motion detection for mobile smart cameras using segmented edge-based optical flow”, 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, (2014), pp.271-276.
    3. Meng Z, Liang X, Andersen H & Ang MH, “Modelling and control of a 2-link mobile manipulator with virtual prototyping”, 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), (2016), pp.363-368.
    4. Kang B, Tan KH, Jiang N, Tai HS, Treffer D & Nguyen T, “Hand segmentation for hand-object interaction from depth map”, IEEE Global Conference on Signal and Information Processing (GlobalSIP), (2017), pp.259-263.
    5. Fernandez-Labrador C, Perez-Yus A, Lopez-Nicolas G & Guerrero JJ, “Layouts from Panoramic Images with Geometry and Deep Learning”, Robotics and Automation Letters IEEE, (2018).
    6. Dang T, Papachristos C & Alexis K, “Autonomous exploration and simultaneous object search using aerial robots”, IEEE Aerospace Conference, (2018).
    7. Papachristos C & Alexis K, “Autonomous detection and classification of change using aerial robots”, IEEE Aerospace Conference, (2017), pp.1-8.
    8. Egodagamage R & Tuceryan M, “A collaborative Augmented Reality framework based on Distributed Visual SLAM”, International Conference on Cyberworlds, (2017), pp.25-32.
    9. Prem Jacob T & Pradeep K, “OCSA: Task Scheduling Algorithm in Cloud Computing Environment”, International Journal of Intelligent Engineering and Systems, Vol.11, No.3, (2018).
    10. Pradeep K & Jacob TP, “CGSA scheduler: A multi-objective-based hybrid approach for task scheduling in cloud environment”, Information Security Journal: A Global Perspective, Vol.27, No.2, (2018), pp.77-91.
    11. Prem Jacob T & Pradeep K, “A Hybrid Approach for Task Scheduling Using the Cuckoo and Harmony Search in Cloud Computing Environment”,Wireless Personnel Communications, Springer, (2018), pp.1-25.
    12. Z Iskakova, M Sarsembayev, Z Kakenova (2018). Can Central Asia be integrated as asean? Opción, Año 33. 152-169.
    13. G Cely Galindo (2017) Del Prometeo griego al de la era-biós de la tecnociencia. Reflexiones bioéticas Opción, Año 33, No. 82 (2017):114-133
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  • How to Cite

    Prem Jacob, T., Pravin, A., & Asha, P. (2018). Arduino Object Follower with Augmented Reality. International Journal of Engineering and Technology, 7(3.27), 108-110. https://doi.org/10.14419/ijet.v7i3.27.17665