Neural network-based recognition of trade workers present on industrial sites

A computer-readable storage medium storing one or more instructions which, when executed by one or more computer processors, cause the one or more processors to perform:

• receiving a plurality of digital images depicting a particular worker;
• extracting a plurality of background datasets from the plurality of digital images;
• based on the plurality of background datasets, determining a plurality of context probabilities, wherein a context probability, of the plurality of context probabilities, indicates a likelihood that a background dataset, of the plurality of background datasets, indicates a trade-specific context of a plurality of trade-specific contexts;
• based on, at least in part, the plurality of context probabilities, generating a plurality of refined probabilities, wherein a refined probability, of the plurality of refined probabilities, indicates a modified likelihood that the particular worker belongs to a trade of a plurality of trades;
• selecting, from the plurality of refined probabilities, a highest probability;
• based on the highest probability, determining a particular trade to which the particular worker belongs.

A system comprising:

• one or more processors;
• memory;
• one or more non-transitory digital storage media coupled to the one or more processors and storing, in the memory, one or more sequences of program instructions which, when executed using the one or more processors, cause the one or more processors to perform:
• receiving a plurality of digital images depicting a particular worker;
• extracting a plurality of background datasets from the plurality of digital images;
• based on the plurality of background datasets, determining a plurality of context probabilities, wherein a context probability, of the plurality of context probabilities, indicates a likelihood that a background dataset, of the plurality of background datasets, indicates a trade-specific context of a plurality of trade-specific contexts;
• based on, at least in part, the plurality of context probabilities, generating a plurality of refined probabilities, wherein a refined probability, of the plurality of refined probabilities, indicates a modified likelihood that the particular worker belongs to a trade of a plurality of trades;
• selecting, from the plurality of refined probabilities, a highest probability;
• based on the highest probability, determining a particular trade to which the particular worker belongs.