Multimodal AI: Fusing Video, Audio, and POS Data
De Flow AI Team
AI Architecture
Multimodal AI: Fusing Video,
Audio, and POS Data
By De Flow AI Team
Why One Signal Isn't Enough
A camera sees a hand pass over a scanner — but did the item beep? A microphone hears raised voices — but is it a celebration or a conflict? The POS logs a void — but who authorized it and why? Each signal alone is ambiguous. Fused together, they tell a story no single sensor can.
The breakthrough isn't a better camera — it's correlation. When a scan gesture has no matching beep and no POS line item, you've found a true scan-avoidance event with near certainty.
🧩 The Three Signals
Video
Detects gestures, movement, dwell, and object interactions across the floor and lanes.
Audio
Recognizes scanner beeps, aggression cues, and alarm sounds — without recording speech.
POS Data
Provides ground truth: items scanned, voids, refunds, discounts, and timestamps.
⚖️ Single-Signal vs. Multimodal
- Many false positives from normal motion
- No confirmation a scan actually registered
- Alert fatigue erodes staff trust
- Cross-checks gesture, beep, and POS line
- Confirms intent before alerting
- High-precision alerts staff act on
"Going multimodal cut our false alerts by two-thirds. Now when the system pings, the team knows it's real — and they respond every time."
— Head of Loss Prevention, grocery group
See the whole picture, not one signal
Discover how multimodal AI fuses your existing data sources.
Explore Multimodal AI →