MIDS Capstone Project Fall 2021

Argos: Capture What’s Relevant

Team Argos is focused on optimizing the capture and awareness of relevant surveillance video. Today, less than 1% of all surveillance video is monitored world wide, even less when considering home surveillance systems. Using ML algorithms, Argos is able to identify and extract relevant video segments from surveillance video feeds. It then captions the video segments so it can be provided to the user in an easy to consume journal. This is specially useful for the MVP focused on home surveillance videos where hours of video are collected from multiple cameras daily and almost no monitoring is done on a regular basis.


Surveillance Camera

Sample Journal Entries

Home Surveillance Journal for John Doe

  • 2021-10-23 14:25: A person delivered a package.
  • 2021-10-23 15:50: A person mowed the lawn.
  • 2021-10-23 23:00: A person carrying a backpack.

Last updated:

December 12, 2021