Hazard recognition

A computer-implemented method of identifying hazards, the method comprising:

• receiving a plurality of sensor data including one or more image files from a mobile device;
• generating one or more position and label pairs based on the plurality of sensor data;
• training an artificial intelligence (AI) model based on a training data set, wherein the training data set comprises a plurality of images of hazards labeled according to a plurality of hazard types;
• generating, via the trained AI model, a hazard recognition to be assigned to each of the position and label pairs;
• generating, via the trained AI model, a score to be associated with each of the hazard recognitions;
• and
• displaying a result comprising:
• one or more image results based on the one or more image files;
• one or more hazard recognitions, the one or more hazard recognitions associated with at least one of the one or more image results and a plurality of different hazard types;
• and
• one or more scores associated to each of the different hazard types of the hazard recognitions.