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.
Considering that the gen 1 ryzen 3 1200 (the lowest end model) is more than double the performance of the automotive processor in my car from 2023 (3.1ghz quad core vs 2.4ghz dual core)…
But, the car does do some onboard image recognition to support Hands-free driving, so there is enough compute onboard to manage that. However, avoiding objects and following a line is something you can do with a Lego mindstorm from 2000, not exactly super demanding computationally.
I reiterate, I think cars certainly have the hardware to spy on other people and drivers, but the practicality of using them for that purpose is pretty limited in regards to how much useful data you would get, how hard it is to get that data, and how much easier it is to collect better data from other sources.
Considering that the gen 1 ryzen 3 1200 (the lowest end model) is more than double the performance of the automotive processor in my car from 2023 (3.1ghz quad core vs 2.4ghz dual core)…
what architecture is the CPU in the car? my smartphone is no 3 GHz, and it too can handle image recognition.
But, the car does do some onboard image recognition to support Hands-free driving, so there is enough compute onboard to manage that.
possibly hardware accelerated with some specialized hardware. there’s this thing called google coral, it can be connected through PCIe or USB, and can do the heavy lifting for multiple cameras.
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.
Considering that the gen 1 ryzen 3 1200 (the lowest end model) is more than double the performance of the automotive processor in my car from 2023 (3.1ghz quad core vs 2.4ghz dual core)…
But, the car does do some onboard image recognition to support Hands-free driving, so there is enough compute onboard to manage that. However, avoiding objects and following a line is something you can do with a Lego mindstorm from 2000, not exactly super demanding computationally.
I reiterate, I think cars certainly have the hardware to spy on other people and drivers, but the practicality of using them for that purpose is pretty limited in regards to how much useful data you would get, how hard it is to get that data, and how much easier it is to collect better data from other sources.
what architecture is the CPU in the car? my smartphone is no 3 GHz, and it too can handle image recognition.
possibly hardware accelerated with some specialized hardware. there’s this thing called google coral, it can be connected through PCIe or USB, and can do the heavy lifting for multiple cameras.
Tesla employees have shared the in car camera videos they record just for fun:
https://www.reuters.com/technology/tesla-workers-shared-sensitive-images-recorded-by-customer-cars-2023-04-06/
Luckily, not all cars are made by Tesla.
but too much have internet connected cameras in them