AmbitiousProcess (they/them)

Some patterns can. This one won’t.

Adversarial patterns/noise can confuse cameras, but that’s usually done not by tricking it into thinking, for example, that this one van is actually a hundred mini vans crammed into the same space, but by tricking it into thinking there’s not a car there because the pattern just confuses it and it recognizes it as any random sequence of random objects and things simultaneously.

Just slapping a bunch of car photos won’t make it think it’s a car, because the little photos are tiny, don’t move like a car, are still visually distinct from the background, and are on a much larger car-shaped object. If your car has patterns that makes it look like the general concept of an asphalt road, road signs, lamp posts, etc, then it might be enough to confuse the camera into thinking the odd blob shapes are something else, because cars on the road are also always passing on top, in front of, and by asphalt, road signs, lamp posts, etc.

The cameras don’t have depth perception, so if your car looks close enough to the road and objects around it, it’ll blend right in, to the camera.

I love how the only arguments people have against them is “they’re ugly” and “they’ll take away parking spots” as if piles of trash bags look better, and NYC doesn’t already have an expansive public transit network with plans to increase bus service.

This will not work. AI-enabled surveillance cameras are more than capable of determining that it’s a wrap on a car, rather than multiple cars all somehow moving in the exact same direction in the exact same area while all facing in incorrect directions relative to the camera.

If anything, it’s just another data point, because Flock cameras also catalog details about your vehicle like stickers, color, wraps, graffiti, dents, etc.