Film Profile · THE-FAST-AND-THE-FURIOUS-TOKYO-DRIFT
The Fast And The Furious Tokyo Drift
Detections89,899
Night Frames48%
Dialogue WPM31
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-71% vs genre
19/100
Very Bright
Action Intensity+13% vs genre
57/100
Moderate
People Density+28% vs genre
65/100
Social
Indoor / Outdoor
18% indoor
Outdoor · 17.8% indoors
Object Diversity
99/100
High
Pacing
1.0 cuts/min
Dynamic · cuts/min
FINGERPRINT
The full shape, vs. genre
Six axes overlaid against the average for this film's primary genre.
The Fast And The Furious Tokyo DriftAction avg · 28 titles
THE ARC
Motion & brightness across the runtime
Hover to scrub. Spikes mark high-action sequences. Dips reveal quiet stretches.
Motion Intensity
Brightness
People
STRUCTURE
Scene mix by act
Three-act split — how the visual tone shifts from setup through climax.
PEAKS & VALLEYS
When the film pushes — and breathes
The single most-intense minute and longest stretch of stillness.
CHROMA
Color signature
Frame-sampled palette — temperature, saturation, and how the look shifts across the runtime.
Temperatureneutral
Saturationmuted
Frames sampled4,999
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#2B454E
26.9%
#676F74
19.9%
#522E1C
16.0%
#979596
15.2%
#7A543D
13.2%
#C4C7C8
8.8%
Palette by scene type5 dominant colors per context · sampled within scene class
Action scenes
#404B52
#B3B3B9
#737B81
#5C2D20
#986F5E
Empty scenes
#3F3A3C
#655B59
#857C7C
#A59C9B
#C3C3C6
Night scenes
#505353
#18424C
#5C3418
#7D7D79
#BABEBF
Outdoor scenes
#54595C
#848180
#5E3621
#204049
#B9BCBE
Romantic scenes
#493733
#5E5A5C
#7F8284
#A1ABAD
#C3D1D1
Vibrant scenes
#237078
#772F0D
#7E4B33
#A0770D
#B17C4D
DETECTIONS
What appears on screen most
The four most-present objects — full breakdown with categories in Deep Dive.
ON SCREEN
Cast at a glance
Top 3 actors by screen time, color-coded by dominant emotion.
LB
Lucas Black
Sean Boswell
31.3m · angry
BT
Brian Tee
D.K.
8.4m · angry
SK
Sung Kang
Han Lue
6.9m · neutral
AI-DISCOVERED FACTS
AI-Discovered Facts — The Fast And The Furious Tokyo Drift (2011)
Insights surfaced by machine analysis of every frame, audio track, and object.
- A surprisingly packed crowd is one of the defining features of The Fast And The Furious Tokyo Drift, boasting 65 people on screen, outpacing the average action film by 50 or more cast members a whopping 25 out of 27 times.
- 5,921 unique people spotted (77% of frames)
- "man" is said 17 times — once every 6.1 minutes.
- Lucas Black is on screen for 31 of 104 minutes — 30% of the runtime.
- The longest stretch of silence runs 7 min 15 sec — no dialogue at all.
- Only 9.2% of all detected faces are smiling across the entire film.
- At 134 BPM, the soundtrack rarely lets up — one of the faster-paced scores in the database.
- 1,112 unique words spoken out of 3,232 total — a vocabulary richness of 34.4%.
- AI detected 99 unique object types across 89,899 frame-by-frame detections.
- 1,691 unique cars spotted (21% of frames)
- Police cars appear in 6% of frames
- 253 unique chairs spotted (4% of frames)
- 196 unique ties spotted (4% of frames)
- Posters appear in 3% of frames
- 116 unique bottles spotted (2% of frames)
- Sports cars appear in 2% of frames
- 178 unique trucks spotted (2% of frames)
- 55 unique tvs spotted (1% of frames)
- 10,343 cars spotted (vehicle-heavy film)
- Contains 9 profanities (0.1 per minute)
- Longest silence: 7 minutes of unbroken quiet
- 24% of frames are close-ups
- The film's emotional journey ends on a neutral note
DIALOGUE
Words across the runtime
Volume and pace at a glance. Top vocabulary and per-act WPM in Deep Dive.
40% dialogue60% silence / score
3,232
total words
31
words / min
9 · 0.3%
profanity flagged
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