Pictures are expensive (data wise), and on-device facial identification is not very accurate, especially at a distance in a variable environment
Cameras inside the vehicle? Those might be worth mining for data. You can easily detect if there’s a person in frame, and snapshot all the passengers. Insurance and law enforcement would be interested in that
Cameras outside? You could search for human faces or license plates and upload them off peak hours… But how much is that information valuable? What percent of the time is a car even driving? Is palantir even set up to ingest that kind of disparate moving data sources?
Flock cameras just yield much more useful data… They’re designed to sit somewhere and capture those pictures. Even if public outcry gets them removed, they’re just going to wait until the public gets bored and then put up less noticeable cameras… We really need to fight this forever
All that being said, I have a car with no cameras and I’d only budge on that if the car reliably could drive itself. I don’t like having cameras pointed at me
not really. you don’t want to keep frames without movement, faces or license plates. then you can throw away most frames from a 60 FPS recording. 2 frames per second is better than nothing for running a portable surveillance station. then you can encode them in some efficient format with acceptable compression, and it’s not that much anymore. massive 5G rollout was explicitly happening for IoT devices, to be able to handle the load.
expensive (data wise), and on-device facial identification is not very accurate
debatable. google picasa had pretty good on-device facial recognition more than a decade ago, on average desktop computer hardware. ente.io runs something similar in their smartphone app today, fully locally. detects faces very well even in memes.
tech that can go into a smartphone can go into any smart car too, and likely does.
But how much is that information valuable?
plenty valuable for “partners” like clearview AI and flock, or if you want to become a competitor in that field.
What percent of the time is a car even driving?
that’s a wrong question. the correct question is what percent of the time is a car outside of the garage. lots of cars are parked on the street all the time while not driving.
Is palantir even set up to ingest that kind of disparate moving data sources?
how the fuck no. It’s less data than what people upload daily to youtube, funded from government money basically.
and then put up less noticeable cameras…
like cameras appearing nowhere any time, like camera cars.
to add to the image processing, first gen ryzen desktop CPUs can handle basic object classification on live camera feed. not effortlessly, but they handle it, and performance has only ever improved with time.
Pictures are expensive (data wise), and on-device facial identification is not very accurate, especially at a distance in a variable environment
Cameras inside the vehicle? Those might be worth mining for data. You can easily detect if there’s a person in frame, and snapshot all the passengers. Insurance and law enforcement would be interested in that
Cameras outside? You could search for human faces or license plates and upload them off peak hours… But how much is that information valuable? What percent of the time is a car even driving? Is palantir even set up to ingest that kind of disparate moving data sources?
Flock cameras just yield much more useful data… They’re designed to sit somewhere and capture those pictures. Even if public outcry gets them removed, they’re just going to wait until the public gets bored and then put up less noticeable cameras… We really need to fight this forever
All that being said, I have a car with no cameras and I’d only budge on that if the car reliably could drive itself. I don’t like having cameras pointed at me
not really. you don’t want to keep frames without movement, faces or license plates. then you can throw away most frames from a 60 FPS recording. 2 frames per second is better than nothing for running a portable surveillance station. then you can encode them in some efficient format with acceptable compression, and it’s not that much anymore. massive 5G rollout was explicitly happening for IoT devices, to be able to handle the load.
debatable. google picasa had pretty good on-device facial recognition more than a decade ago, on average desktop computer hardware. ente.io runs something similar in their smartphone app today, fully locally. detects faces very well even in memes.
tech that can go into a smartphone can go into any smart car too, and likely does.
plenty valuable for “partners” like clearview AI and flock, or if you want to become a competitor in that field.
that’s a wrong question. the correct question is what percent of the time is a car outside of the garage. lots of cars are parked on the street all the time while not driving.
how the fuck no. It’s less data than what people upload daily to youtube, funded from government money basically.
like cameras appearing nowhere any time, like camera cars.
to add to the image processing, first gen ryzen desktop CPUs can handle basic object classification on live camera feed. not effortlessly, but they handle it, and performance has only ever improved with time.