Contextual safety assessment, recommendations, provisioning and monitoring

A non-transitory computer readable medium comprising computer executable instructions which when executed by a computer cause the computer to perform a method of:

• performing computer vision and video analysis on one or more images and/or video of an accessible environment obtained from one or more cameras to generate a series of still frames for a database of training images;
• identifying objects and structures in the series of still frames;
• performing natural language processing (NLP) on one or more written reports to generate textual parameters and match the textual parameters to ones of the objects and the structures and caption respective ones of the still frames including the ones of the objects and the structures;
• performing an online image similarity search using the textual parameters to generate additional images for the database of training images;
• generating a risk/danger prediction model based on the database of training images;
• identifying one or more potential dangers and generating one or more warnings using the risk/danger prediction model;
• performing NLP and computer vision analysis on the one or more warnings to train a safety proof recommendation model;
• generating one or more safety upgrade recommendations and one or more cost estimates for one or more safety upgrades based on the safety proof recommendation model;
• assessing an adequacy of the structures and results of the video analysis to generate a list of high-danger zones in the accessible environment;
• and
• triggering an alarm is in response to an individual being observed in a real-time video analysis approaching a high-danger zone in the list of high-danger zones.

An apparatus comprising:

• a memory;
• and
• at least one processor, coupled to said memory, and operative to perform operations comprising:
• performing computer vision and video analysis on one or more images and/or video of an accessible environment obtained from one or more cameras to generate a series of still frames for a database of training images;
• identifying objects and structures in the series of still frames;
• performing natural language processing (NLP) on one or more written reports to generate textual parameters and match the textual parameters to ones of the objects and the structures and caption respective ones of the still frames including the ones of the objects and the structures;
• performing an online image similarity search using the textual parameters to generate additional images for the database of training images;
• generating a risk/danger prediction model based on the database of training images;
• identifying one or more potential dangers and generating one or more warnings using the risk/danger prediction model;
• performing NLP and computer vision analysis on the one or more warnings to train a safety proof recommendation model;
• generating one or more safety upgrade recommendations and one or more cost estimates for one or more safety upgrades based on the safety proof recommendation model;
• assessing an adequacy of the structures and results of the video analysis to generate a list of high-danger zones in the accessible environment;
• and
• triggering an alarm is in response to an individual being observed in a real-time video analysis approaching a high-danger zone in the list of high-danger zones.