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by dust42 323 days ago
Looking in their github, it says that it uses openCV and Tensorflow. The motion detection is done with openCV and will be immune against any attack unless you move so slow that you are under the detection threshold.

Tensorflow for the object detection doesn't do any OCR thus written instructions dont work. However, according to the website the system has a limited list of objects it detects. So maybe disguising yourself as a walking tree might prevent detection.

5 comments

Finally a practical use for the Metal Gear Solid cardboard box!
>So maybe disguising yourself as a walking tree might prevent detection

https://taskandpurpose.com/news/marines-ai-paul-scharre/

I think the defaults are fairly sensitive. I had to add motion masks to ignore trees

In addition, if something else like a 2nd tree moves, then it will get sent to the detector which will potentially label the other thing (my trees were causing false positives because it thought the stationary fence post was a human)

> The motion detection is done with openCV and will be immune against any attack unless you move so slow

Not so sure about that, there's some cool stuff being done with adversarial models to force mis-detection of otherwise normal-looking images.

With an open source model, though, a criminal may be able to work out a 2D image that he could print out that would identify him as a package or a windy branch.
the criminal could spend years to become a trusted maintainer so they can upload a model that's been fine tuned to ignore objects with a specific QR code.
I think you may be overestimating my local crackhead porch pirates
Light shinobi.
I have two cameras at my front door - one is the doorbell and the other looks towards the door, which is on the side of a porch.