Catnip

Motion detection project. Aims to minimise resource usage whilst providing accurate reports with minimal false positives.

Requirements

• Python ^v3.8
• USB Webcam or Camera Device

Usage

py -m catnip --help

Process

• In one thread, record footage constantly and save the latest frame to a variable.

• On another thread, process the very latest frame and check for movement every x (1) seconds.

• If we detect movement, start recording frames to a new folder (or memory perhaps?) for x (15) seconds.

• If the average is still the exact same at the end of a certain period of x (15) seconds, update the average.

Issues

• Automatic exposure settings may create false positives, especially in places with harsh light differences such as a lamp on a brightly coloured surface at night.
  • Added a "fix" with the --disable-exposure argument.