Granite classification using machine learning and edge computing.

Journal: F1000Research
PMID:

Abstract

BACKGROUND: The outlook and the aura of any place are highly dependent on how a place is decorated and what materials are used in designing it. Granite is such a kind of rock which is vastly used for this purpose. Granite flooring and countershave a major influence on the interior d ´ecor which is essential to set the moodand ambience of a house. A system is needed to help the end users differentiatebetween granites, which enhance the grandeur of their house and also check thefrauds of different color granite being sent by the merchant as compared to whatwas selected by the end user. Several models have been developed for this causeusing CNN and other image processing techniques. However, a solution for thispurpose must be precise and computationally efficient.

Authors

  • Madhavi Karanam
    Professor,HoD,CSE,, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana, 500090, India.
  • Krishna Chythanya Nagaraju
    Asst.Prof., CSE, Gokaraju Rangarau Institute of Engineering and Technology, Hyderabad, Telangana, 500090, India.
  • Gotham Sai P
    UG STUDENT, CSE., Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana, 500090, India.
  • SaiKiran Manasa S
    UG STUDENT, CSE., Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana, 500090, India.
  • Pranay Krishna G
    UG STUDENT, CSE., Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana, 500090, India.