But of course, I can't spend time counting cars...
But a webcam attached to a Raspberry Pi sure can
3,354 Total scans, 10,024 total suspected cases
207+ Hours collected, spanning 53 days
≈6,360 total cars seen, ≈4,223 seen long enough to measure. An estimated ≈39,569 cars have passed the sign, with an average of ≈736 per day.
Machine learning on stop violations is still pending - too few actual stops to accurately assess. As of now, 90.27% of all stops are violations according to human assessment, leading to an estimated 5,741 observed violations, with an estimated ≈35,719 total stop sign runs since monitoring began.