It has a frontend at https://trains.jo-m.ch/.
Edit: it's currently raining and the rain drops are disturbing the images a bit.
It has a frontend at https://trains.jo-m.ch/.
Edit: it's currently raining and the rain drops are disturbing the images a bit.
The trains look very clean from the outside. I do wonder how loud is it, to live so near the tracks.
By the way I have a quick expansion for most TLDs and for the Swiss .ch “cheese” sounds rather more apt and easier than the real one in my head :)
From time to time I see a train with graffiti on it, but usually they remove such things very fast.
It's really cool to see it used like this! The resulting images are really neat as well!
https://trains.jo-m.ch/#/trains/350
https://trains.jo-m.ch/#/trains/3224
https://trains.jo-m.ch/#/trains/4045
Etc
Since you have speed, I should dig into this.
Incidentally I also built some tech for it: https://github.com/dllu/nectar but I need to update the readme...
I even got so far as to get it working with Zoneminder to dump out the clips that had motion, but didn't get further.
https://daniel.lawrence.lu/photos/pcc
Technically, the photo could be twice the resolution, since the length of the line scan sensor is 4096. It consists of two lines, RGRGRG and GBGBGB. By interpolating the red and blue channels, it would be possible to get images 4096 pixels tall. The challenge is that the two green channels apparently have quite different sensitivity and also each pixel has some variation in sensitivity, which also seems to drift with temperature and settings, so it's quite annoying to calibrate everything properly haha.
I'm assuming you are measuring how far a certain feature of the train takes to get from one point of the frame to the other. Similar to how police catch people speeding by measuring how long road markings take to pass in a given frame.
This is not mysterious tech deriving images from sound traveling through the floor. You will be out of luck with your underground subway.
Plus, the trains and tracks are very well maintained, so they create a lot less noise than you may be used to.
I also live right next to a train line in CH (that has exactly the same kind of rolling stock passing by as the ones captured by jo-m). These are modern commuter trains (no cargo and long distance trains), and are a lot less loud than you'd expect. A somewhat busy street nearby would be an order of magnitude more annoying.
Used to yolov5 to detect vehicles and deepsort to track them, also got a rough estimate for the speed of the pass
heres the two part blog i wrote about it