DEEP DIVE · IRON-MAN
The full breakdown
Detection, audio and scene analysis across every frame of Iron Man — derived from object recognition, transcript alignment and shot segmentation.
2008Action, Sci-Fi, Adventure126 min● analyzed May 21, 2026
Total Detections
112,627
objects + faces
Unique Objects
169
distinct types
Detections / min
893.8
avg rate
Night Scenes
73.9%
low-light frames
Words Spoken
8,912
transcribed
Named Actors
13
face-id matched
SIX-AXIS GENOME
Movie DNA radar
Darkness Index13.8%
Darkness RatingVery Bright
Action Intensity5.8
Action RatingModerate
People Density1.86 people/min
Social RatingIntimate
Vehicle Density0.16 vehicles/min
Chase PotentialMedium
Indoor %35.4%
SettingOutdoor
Object Diversity169 types
Visual ComplexityHigh
Pacing SignatureHighly Variable
FUN FACTS
Things the model surfaced
Iron Man outpaces 12 action films, boasting a staggering 58 out of 100 action score, far exceeding the genre average of 47.
Robert Downey Jr. is on screen for 35 of 126 minutes — 28% of the runtime.
The longest stretch of silence runs 8 min 4 sec — no dialogue at all.
Only 6.9% of all detected faces are smiling across the entire film.
At 144 BPM, the soundtrack rarely lets up — one of the faster-paced scores in the database.
2,368
unique words spoken out of 8,912 total — a vocabulary richness of 26.6%.
AI detected 169 unique object types across 112,627 frame-by-frame detections.
4,094
unique people spotted (76% of frames)
"tony" is said 43 times — once every 2.9 minutes.
652
unique ties spotted (14% of frames)
375
unique cars spotted (6% of frames)
323
unique tvs spotted (7% of frames)
209
unique chairs spotted (4% of frames)
171
unique motorcycles spotted (3% of frames)
123
unique bottles spotted (2% of frames)
3,938
cars spotted (vehicle-heavy film)
557
weapon appearances (4 per minute)
Fire or explosions visible in 0% of sampled frames
Smoke or haze detected in 322 frames