Systems and methods for dynamic video compression using artificial intelligence

A method comprising:

• receiving, by one or more processors, from a camera communicably coupled to a building security system, video data;
• retrieving, by the one or more processors, contextual information associated with the camera;
• analyzing, by the one or more processors, using one or more artificial intelligence (AI) models, one or more frames within the video data, wherein the analysis of the one or more frames comprises detection of an object of interest;
• determining, by the one or more processors, using the one or more AI models based upon the contextual information and the analysis of the one or more frames, a first setting from among a plurality of settings for the camera for a first time, wherein the first setting determines a first compression amount applied to the video data;
• and
• determining, by the one or more processors, using the one or more AI models based upon the contextual information and the analysis of the one or more frames, a second setting from among the plurality of settings for the camera for a second time, wherein the second setting determines a second compression amount applied to the video data that is different from the first compression amount.

One or more non-transitory computer-readable media storing instructions thereon that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• receiving, from a camera communicably coupled to a building security system, video data;
• retrieving contextual information associated with the camera;
• analyzing, using one or more artificial intelligence (AI) models, one or more frames within the video data, wherein the analysis of the one or more frames comprises detection of an object of interest;
• determining, using the one or more AI models based upon the contextual information and the analysis of the one or more frames, a first setting from among a plurality of settings for the camera for a first time, wherein the first setting determines a first compression amount applied to the video data;
• and
• determining, using the one or more AI models based upon the contextual information and the analysis of the one or more frames, a second setting from among the plurality of settings for the camera for a second time, wherein the second setting determines a second compression amount applied to the video data that is different from the first compression amount.