FIELD: computing technology.
SUBSTANCE: invention relates to the field of computing technology for monitoring the working condition of heavy machinery. Described in the application are a method and system for monitoring the working condition of heavy machinery, implemented in a computer processor. The method includes receiving multiple images of at least a working tool of the heavy machinery on the interface of an integrated processor installed on the heavy machinery. The method also includes processing each of the multiple images using a first neural network implemented in the integrated processor, pre-trained to identify areas of interest in the image. Each area of interest is properly designated as at least one of the following: a critical area applicable for extracting the required information on the critical working condition of the heavy machinery, and a non-critical area applicable for extracting information on the non-critical working condition of the heavy machinery.
EFFECT: increase in efficiency consisting in faster detection of any faults or damage to the loading equipment.
29 cl, 23 dwg
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Authors
Dates
2022-05-27—Published
2018-06-01—Filed