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DEEP DIVE · THE-DEPARTED

The full breakdown

Detection, audio and scene analysis across every frame of The Departed — derived from object recognition, transcript alignment and shot segmentation.

← Back to The Departed
2006Drama, Thriller, Crime151.3 min● analyzed Jun 19, 2026
Total Detections
135,478
objects + faces
Unique Objects
98
distinct types
Detections / min
895.3
avg rate
Night Scenes
41.3%
low-light frames
Words Spoken
14,012
transcribed
Named Actors
15
face-id matched
SIX-AXIS GENOME

Movie DNA radar

DARKNESSACTIONDIALOGUEPEOPLEVEHICLESVISUAL
Darkness
53/100
Action
58/100
Dialogue
44/100
People
60/100
Vehicles
5/100
Visual
98/100
PROFILE

Genome readout

Darkness Index13.2%
Darkness RatingVery Bright
Action Intensity5.8
Action RatingModerate
People Density1.99 people/min
Social RatingIntimate
Vehicle Density0.09 vehicles/min
Chase PotentialLow
Indoor %74.2%
SettingIndoor
Object Diversity98 types
Visual ComplexityHigh
Pacing SignatureDynamic
FUN FACTS

AI-Discovered Facts — The Departed (2006)

The Departed shocks with 4.3x the profanity of average Drama films, beating 96% of the genre.

5,103unique people spotted (90% of frames)

"fucking" is said 137 times — once every 1.1 minutes.

Leonardo DiCaprio is on screen for 35 of 151 minutes — 23% of the runtime.

The longest stretch of silence runs 7 min 20 sec — no dialogue at all.

Only 3.7% of all detected faces are smiling across the entire film.

At 117 BPM, the score sets a slow, meditative pace throughout.

2,910unique words spoken out of 14,012 total — a vocabulary richness of 20.8%.

AI detected 98 unique object types across 135,478 frame-by-frame detections.

1,062unique ties spotted (20% of frames)

935unique chairs spotted (12% of frames)

373unique cups spotted (6% of frames)

372unique cars spotted (4% of frames)

172unique potted plants spotted (4% of frames)

223unique tvs spotted (4% of frames)

318unique cell phones spotted (4% of frames)

223unique bottles spotted (2% of frames)

115weapon appearances (1 per minute)

Shot predominantly with warm tones