Walk
Meaford, Tuesday 22 September 2026
17:16 to 18:33, one 360 camera carried through town. Audio, frames and the words spoken are on one clock. Drag through it.
17:22:39walk second 360
Sound this second
-20.4 dB level, peak -8.3 dB
Someone is talking.
In this frame
3 vehicles detected, parked or moving
left: none · right: car, car, car
Max's own label here
Do not use this stretch for speed
“Do not take this as a measurement for speed. They are misleading you.”
17:22:25 to 17:23:45, end assumed at 60 s after his last remark
Sound event nearby
None within a few seconds.
Street only, nobody talkingEverything, voice includedHe said: do not useHe said: this engine
Table, one row per minute
| Clock | Street | Everything | Peak | Talking |
|---|---|---|---|---|
| 17:16 | -21.9 | -20.4 | -3.4 | 51 s |
| 17:17 | -22.8 | -20.8 | -3.9 | 54 s |
| 17:18 | -24.6 | -21.4 | -4.0 | 57 s |
| 17:19 | — | -19.9 | -4.5 | 60 s |
| 17:20 | — | -19.6 | -3.8 | 60 s |
| 17:21 | -21.4 | -19.2 | -4.1 | 51 s |
| 17:22 | — | -19.1 | -4.2 | 60 s |
| 17:23 | -19.1 | -18.4 | -3.5 | 52 s |
| 17:24 | -21.1 | -19.3 | -1.2 | 49 s |
| 17:25 | — | -18.6 | -4.0 | 60 s |
| 17:26 | — | -18.5 | -3.8 | 60 s |
| 17:27 | -20.0 | -19.4 | -2.5 | 34 s |
| 17:28 | -21.9 | -21.0 | -3.6 | 16 s |
| 17:29 | -19.7 | -19.3 | -2.2 | 21 s |
| 17:30 | -20.3 | -20.3 | -4.9 | 5 s |
| 17:31 | -21.2 | -21.2 | -4.3 | 0 s |
| 17:32 | -20.2 | -19.6 | -3.8 | 57 s |
| 17:33 | -19.7 | -19.8 | -4.2 | 57 s |
| 17:34 | -19.4 | -20.1 | -4.9 | 59 s |
| 17:35 | -20.7 | -20.1 | -4.5 | 57 s |
| 17:36 | -20.0 | -19.8 | -4.4 | 24 s |
| 17:37 | -20.4 | -20.4 | -6.1 | 6 s |
| 17:38 | -19.6 | -19.9 | -4.1 | 23 s |
| 17:39 | -19.3 | -19.2 | -5.3 | 39 s |
| 17:40 | -22.1 | -21.1 | -4.8 | 25 s |
| 17:41 | -23.4 | -23.2 | -6.3 | 9 s |
| 17:42 | -25.4 | -22.7 | -4.5 | 24 s |
| 17:43 | -22.0 | -21.1 | -5.1 | 30 s |
| 17:44 | -22.0 | -20.0 | -4.7 | 49 s |
| 17:45 | -20.8 | -20.4 | -4.1 | 42 s |
| 17:46 | -20.7 | -20.4 | -6.0 | 34 s |
| 17:47 | -21.1 | -19.3 | -4.3 | 53 s |
| 17:48 | -20.3 | -19.4 | -3.1 | 51 s |
| 17:49 | -22.5 | -20.3 | -3.7 | 50 s |
| 17:50 | -21.2 | -20.5 | -3.5 | 37 s |
| 17:51 | -23.0 | -19.5 | -4.4 | 58 s |
| 17:52 | -20.8 | -20.0 | -3.8 | 59 s |
| 17:53 | -20.8 | -19.6 | -3.6 | 53 s |
| 17:54 | — | -19.8 | -3.5 | 60 s |
| 17:55 | — | -19.3 | -4.1 | 60 s |
| 17:56 | -22.1 | -21.5 | -4.8 | 11 s |
| 17:57 | -22.7 | -21.2 | -4.3 | 31 s |
| 17:58 | -20.9 | -20.6 | -4.2 | 20 s |
| 17:59 | -22.0 | -20.9 | -4.4 | 38 s |
| 18:00 | -20.9 | -20.1 | -4.1 | 40 s |
| 18:01 | -20.6 | -19.8 | -4.1 | 28 s |
| 18:02 | — | -18.9 | -3.4 | 60 s |
| 18:03 | -20.7 | -20.2 | -3.4 | 32 s |
| 18:04 | -20.9 | -20.2 | -4.2 | 27 s |
| 18:05 | -23.3 | -21.7 | -3.5 | 48 s |
| 18:06 | — | -20.9 | -3.9 | 60 s |
| 18:07 | — | -19.9 | -4.2 | 60 s |
| 18:08 | -26.4 | -20.2 | -4.9 | 48 s |
| 18:09 | -33.0 | -18.9 | -3.7 | 59 s |
| 18:10 | — | -19.0 | -4.1 | 60 s |
| 18:11 | -22.1 | -19.2 | -3.6 | 55 s |
| 18:12 | -21.8 | -20.7 | -3.8 | 43 s |
| 18:13 | -22.8 | -20.7 | -5.0 | 43 s |
| 18:14 | -26.0 | -24.5 | -4.3 | 27 s |
| 18:15 | — | -19.7 | -4.2 | 60 s |
| 18:16 | — | -19.9 | -4.2 | 60 s |
| 18:17 | — | -18.7 | -3.2 | 60 s |
| 18:18 | -16.0 | -18.9 | -3.0 | 58 s |
| 18:19 | -30.3 | -23.6 | -3.9 | 40 s |
| 18:20 | -29.1 | -23.0 | -5.6 | 44 s |
| 18:21 | -29.7 | -24.9 | -5.0 | 33 s |
| 18:22 | -24.5 | -21.0 | -3.8 | 50 s |
| 18:23 | — | -20.2 | -4.9 | 60 s |
| 18:24 | -30.7 | -20.0 | -2.6 | 58 s |
| 18:25 | — | -19.5 | -3.6 | 60 s |
| 18:26 | -26.6 | -21.0 | -4.0 | 44 s |
| 18:27 | -30.6 | -21.3 | -3.1 | 58 s |
| 18:28 | — | -21.5 | -4.3 | 60 s |
| 18:29 | -29.3 | -25.2 | -4.3 | 31 s |
| 18:30 | -39.3 | -21.3 | -1.8 | 59 s |
| 18:31 | -47.3 | -21.4 | -4.2 | 57 s |
| 18:32 | — | -20.4 | -2.3 | 53 s |
What was measured, and how far to trust it
Sound
-21.6 dB
Typical street level with nobody talking, from 1,167 seconds. Relative to the camera, not a sound meter.
Checked against his own words: tells quiet from normal, cannot yet tell busy from normal.
Vehicles in frame
1.1
Mean vehicles visible per ten second frame, parked or moving, over 462 frames. 174 frames had at least one.
An off the shelf detector on fisheye frames. Boxes are drawn on the frame above so you can see when it is wrong.
Passes from sound
15
Engine band events with nobody talking. Six checked against frames by eye, one was a car.
Not a count. The microphone hears the person carrying it first.
His exclusions, applied
Twice on the walk he said not to use what was happening. Those windows are marked on the chart above and the numbers below are recomputed without them, next to the numbers with them, so nothing is quietly dropped.
| Figure | Everything | His exclusions applied |
|---|---|---|
| Street level, median, nobody talking | -21.6 dB over 1,167 s | -21.6 dB over 1,167 s |
| Vehicles in frame, mean per ten second frame | 1.09 over 462 frames | 1.1 over 452 frames |
105 seconds fall inside his “do not use” window. He was talking through all of them, so the street level figure does not move. The speed window will apply once speed is measured.
Context, audio, visuals
He asked whether what he said, what the microphone heard and what the camera saw line up, as a regression with standard errors and p values. First run, on this walk.
Audio from visuals
Street level changes by 0.04 dB per vehicle in frame, standard error 0.17, p = 0.80, on 154 frames.
Vehicles in view do not predict how loud the street is.
Visuals from context
When he said busy, 1.0 vehicles in frame. When he said quiet, 2.7. p = 0.74.
The reverse of what busy should mean. His quiet moments were beside parked cars.
What it means
The visual variable counts parked cars. The three only line up once the camera counts vehicles that move, which is the same tracking step that gives speed. Rerun then.
Not measured yet
- Top speed and average top speed per vehicle. Needs tracking across frames at full frame rate around each pass.
- Engine identity by sound. Needs a fingerprint per pass and the passes first.
- Vehicle size, make and model, and whether a vehicle carries a camera.
- Intersections reached and how many vehicles met him there.
- Emissions and a money figure for them.
Nothing on this page identifies a person or a vehicle. The frames are a tenth of the camera's resolution and a plate is a few pixels wide in them.