cam8 — cam8_yard.mp4

1280x720 @ 8.33 fps · 747 frames · model yolov8s.pt, stride 1, imgsz 640, conf 0.35

Workers
47
peak 7 at once (00:00:00.8)
Unique vehicles
9
bicycles, cars, motorcycles, buses, trucks
Peak occupancy
11
objects in frame at 00:00:07.7
Cars serviced
3
6 stationary vehicle(s) seen
Duration
00:01:29.7
processed in 57.88s (0.645s per video s)

Annotated video (2x time-lapse)

Counts per class

ClassUnique tracksDetections
person 472823
bicycle 00
car 92878
motorcycle 00
bus 00
truck 01

Occupancy per 5-second bucket (average objects in frame)

0 4 9 00:00: people 5.02, vehicles 3.33 (avg), max 11 00:00 00:05: people 4.88, vehicles 3.71 (avg), max 11 00:10: people 4.12, vehicles 3.2 (avg), max 10 00:10 00:15: people 4.74, vehicles 3.0 (avg), max 10 00:20: people 3.07, vehicles 3.95 (avg), max 9 00:20 00:25: people 1.15, vehicles 4.0 (avg), max 7 00:30: people 1.88, vehicles 3.57 (avg), max 7 00:30 00:35: people 3.26, vehicles 3.48 (avg), max 8 00:40: people 3.41, vehicles 3.63 (avg), max 9 00:40 00:45: people 3.88, vehicles 4.5 (avg), max 11 00:50: people 4.55, vehicles 4.1 (avg), max 11 00:50 00:55: people 4.88, vehicles 4.0 (avg), max 11 01:00: people 4.62, vehicles 4.0 (avg), max 10 01:00 01:05: people 4.76, vehicles 4.0 (avg), max 10 01:10: people 3.05, vehicles 4.0 (avg), max 9 01:10 01:15: people 3.52, vehicles 4.07 (avg), max 10 01:20: people 4.14, vehicles 4.02 (avg), max 11 01:20 01:25: people 2.95, vehicles 4.89 (avg), max 9
people   vehicles   (hover a bar for details)

Where people were (32x18 heatmap of person centroids)

Brighter red = more person sightings in that cell (square-root scaled), over a still frame from the clip.

Service timeline

CarTrackStateArrivedService start Washing (s)Drying (s)Done Service (s)Workers
Car A#2 washing 00:00:02.8 00:00:02.8 86.80.0 - 86.92 Worker 2, Worker 6, Worker 7, Worker 3, Worker 4, Worker 5, Worker 8, Worker 9, Worker 10, Worker 11, Worker 12, Worker 13, Worker 14, Worker 15, Worker 16, Worker 17, Worker 19, Worker 20, Worker 22, Worker 23, Worker 24, Worker 25, Worker 26, Worker 29, Worker 31, Worker 33, Worker 34, Worker 30, Worker 35, Worker 36, Worker 37, Worker 38, Worker 39, Worker 40, Worker 43, Worker 44, Worker 45, Worker 41, Worker 46, Worker 47
Car B#3 washing 00:00:02.8 00:01:20.9 1.080.0 - 8.76 Worker 42
Car C#6 arrived 00:00:02.8 - 0.00.0 - - -
Car D#36, #81 arrived (left) 00:00:06.1 - 0.00.0 - - -
Car E#169 washing 00:01:03.9 00:01:03.9 22.690.0 - 25.81 Worker 32, Worker 29, Worker 33, Worker 30, Worker 36, Worker 39, Worker 40, Worker 41, Worker 42
Car F#432 arrived 00:01:28.1 - 0.00.0 - - -
A car is tracked once it stands still (moves less than 2.0% of the frame width over 3 s). Washing starts when the first worker is next to it; drying starts when workers return after a gap of at least 5.0 s once washing has lasted 20.0 s; done after 15.0 s with no worker. "Done" is when the last worker left.

Workers

WorkerTrackFirst seenLast seenOn screen (s)
Worker 1#1 00:00:00.000:00:24.224.25
Worker 2#4 00:00:00.000:00:49.048.98
Worker 3#5 00:00:00.000:00:03.13.12
Worker 4#8 00:00:00.400:00:07.77.32
Worker 5#12 00:00:00.400:00:25.425.09
Worker 6#14 00:00:00.400:00:16.616.21
Worker 7#20 00:00:00.700:00:25.424.73
Worker 8#18 00:00:01.300:00:16.214.89
Worker 9#51 00:00:14.700:00:20.96.24
Worker 11#55 00:00:15.400:00:19.74.32
Worker 10#56 00:00:16.700:00:17.10.36
Worker 12#71 00:00:18.200:00:18.60.36
Worker 13#96 00:00:24.500:00:25.00.48
Worker 14#111 00:00:31.200:00:31.40.24
Worker 15#112 00:00:32.200:00:42.19.96
Worker 16#116 00:00:34.100:00:46.112.01
Worker 17#134 00:00:38.500:00:45.16.6
Worker 18#146 00:00:41.500:00:41.90.36
Worker 20#154 00:00:43.600:00:51.78.16
Worker 19#159 00:00:44.300:00:46.21.92
Worker 21#168 00:00:45.400:00:51.96.48
Worker 22#178 00:00:46.600:00:58.511.89
Worker 23#184 00:00:47.400:00:50.73.24
Worker 24#189 00:00:48.400:00:50.82.4
Worker 25#197 00:00:50.500:00:52.21.68
Worker 27#199 00:00:50.900:00:51.40.48
Worker 26#200 00:00:50.900:00:54.63.72
Worker 28#203 00:00:51.300:00:58.57.2
Worker 29#208 00:00:51.600:01:10.819.21
Worker 30#222 00:00:53.200:01:18.224.97
Worker 31#236 00:00:54.900:00:57.42.52
Worker 32#243 00:00:55.700:01:08.412.73
Worker 33#251 00:00:56.900:01:15.318.37
Worker 34#267 00:00:58.500:01:08.910.44
Worker 35#309 00:01:06.500:01:14.47.92
Worker 36#328 00:01:09.900:01:10.10.24
Worker 38#349 00:01:14.400:01:24.09.6
Worker 37#353 00:01:14.700:01:29.614.89
Worker 39#359 00:01:15.200:01:21.96.72
Worker 40#374 00:01:18.200:01:21.43.24
Worker 41#378 00:01:19.500:01:29.610.08
Worker 42#380 00:01:20.700:01:22.01.32
Worker 43#383 00:01:21.000:01:21.30.24
Worker 44#386 00:01:21.900:01:24.42.52
Worker 45#398 00:01:23.100:01:25.52.4
Worker 46#418 00:01:24.200:01:29.65.4
Worker 47#434 00:01:26.600:01:29.12.52

Longest-dwelling tracks (top 20)

TrackClassFirst seenLast seen Dwell (s)Avg conf
Car A #2car 00:00:00.000:01:29.6 89.560.785
Car B #3car 00:00:00.000:01:29.6 89.560.841
Car C #6car 00:00:00.000:01:29.6 89.560.514
Worker 2 #4person 00:00:00.000:00:49.0 48.980.782
Car E #169car 00:00:45.400:01:29.6 44.180.921
Car D #81car 00:00:19.400:00:49.9 30.490.254
Worker 5 #12person 00:00:00.400:00:25.4 25.090.619
Worker 30 #222person 00:00:53.200:01:18.2 24.970.674
Worker 7 #20person 00:00:00.700:00:25.4 24.730.536
Worker 1 #1person 00:00:00.000:00:24.2 24.250.81
Worker 29 #208person 00:00:51.600:01:10.8 19.210.706
Worker 33 #251person 00:00:56.900:01:15.3 18.370.755
Worker 6 #14person 00:00:00.400:00:16.6 16.210.717
Worker 8 #18person 00:00:01.300:00:16.2 14.890.386
Worker 37 #353person 00:01:14.700:01:29.6 14.890.5
Worker 32 #243person 00:00:55.700:01:08.4 12.730.771
Worker 16 #116person 00:00:34.100:00:46.1 12.010.757
Worker 22 #178person 00:00:46.600:00:58.5 11.890.57
Worker 34 #267person 00:00:58.500:01:08.9 10.440.604
Worker 41 #378person 00:01:19.500:01:29.6 10.080.739