Automated identification of overheated belt conveyor idlers in thermal images with complex backgrounds using binary classification with cnn

HIGHLIGHTS

  • who: Siami and collaborators from the AMC Vibro Spz oo., Pilotow, e, Kraku00f3w, Poland Department of Robotics and Mechatronics, AGH University of Science and Technology, Al. Mickiewicza , have published the Article: Automated Identification of Overheated Belt Conveyor Idlers in Thermal Images with Complex Backgrounds Using Binary Classification with CNN, in the Journal: Sensors 2022, 22, 10004. of 19/Dec/2022
  • what: The authors chose to identify the overheated idlers base on qualitative methods; therefore, the relative temperature values of detected hotspots in IR images were analyzed with respect to other areas . The authors focused on . . .

     

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