I might have an unusual problem for this site; among other duties, I manage the wireless network for a large corporate campus. As part of an upgrade to our wireless access-points, I used a metal bracket to mount an AP on a rail about 10 feet off the ground. When it was mounted, the bottom part of the access-point was parallel with the floor.
A week later, our cabling technicians noticed that someone had bent the AP about 70 degrees upward; given the strength of the bracket, it took a lot of force to do this. We have a security camera about 90 feet away from this AP, but the relevant area I care about is about 3% of the camera's image area.
Due to the fuzziness and small area in the video, our security team said it would take about 30 man-hours to search the video (one person watching it for 3.5 days... given restrictions in playback, they can't zoom in during fast forward); as such, they weren't interested in going farther.
It seems like there might be some way to build a list of candidate time slots in the video, where this 3% area drastically changed from normal for a given time-frame... let's say at least 20-seconds.
TBH, the bracket is only $30; however, since our old-crusty security guy swore it couldn't be automated, I took it as a point of curiosity to see whether that's true. Obviously there are commercial solutions... I'm looking for "free" in linux.
The file would be about 6GB. Is there a linux CLI solution to this problem? I just need to reduce the times we look at to something manageable. Even if I had to use a python image analytics library like OpenCV-python, that's a possibility but I'm hoping to (ab)use something like
ffmpeg for this purpose. If there isn't such a tool, which Open-CV function would be best for this job?