Crime scene analysis using machine learning

A method for automated crime scene analysis using machine learning, the method comprising:

• training a machine learning model based on one or more of pre-recorded audio or visual information associated with a plurality of firearms;
• receiving captured one or more of audio or visual data associated with use of a firearm in a crime scene environment;
• evaluating the captured data to identify the firearm with the trained machine learning model;
• and
• providing one or more of the identification, a comprehensive crime scene analysis report, and a feedback report to one or more designated recipients.

A server configured to provide automated crime scene analysis using machine learning, the server comprising:

• a communication device configured to facilitate communication between the server, a cloud storage, and a client device;
• a memory configured to store instructions;
• and
• one or more processors coupled to the memory and the communication device, wherein the one or more processors, in conjunction with the instructions stored in the memory, execute an identification module of an analysis service, the identification module configured to:
• train a machine learning model based on pre-recorded audio and visual information associated with a plurality of firearms received from the cloud storage;
• receive captured audio and visual data associated with use of a firearm in a crime scene environment;
• evaluate the received audio and visual data to identify the firearm with the trained machine learning model;
• and
• provide one or more of the identification, a comprehensive crime scene analysis report, and a feedback report to one or more designated recipients.