Edge AI and Synthetic AI Redefining Public Media
WHAT WE DO
We specialize in embedding intelligence directly into publicsignage—enabling interaction, perception, and decision-making at the screen without adding network overhead or disruptingexisting infrastructure.
WHY IT MATTERS
By combining Edge AI with Synthetic AI interfaces, static screens become responsive systems that activate consumers, power programmatic outcomes, and create measurable engagement beyond impressions.
WHAT BECOMES POSSIBLE
This architecture unlocks new public experiences—real-timeinteraction, guided assistance, localized commerce, and anonymized audience intelligence—that were not feasible before Edge AI and Synthetic AI.
Why Edge AI + EdgeBox Is Structurally Superior for Interactive Media
Core Architectural Advantages:
• Zero-latency interaction (no cloud round-trips)
• Offline or degraded-network operation
• Privacy-safe computer vision (no raw video leaves device)
• Deterministic performance (predictable frame rate, response time)
• Massive bandwidth savings
• Local autonomy per screen
• Scales linearly by screen, not by cloud cost
This fundamentally changes what signage can do in public environments.
The Missing Interactive Edge AI Layer in Out-of-Home Monetization.
Use Cases:
Gesture-controlled ad selection
Audience detection & dwell
measurement
Multi-player billboard games
Live polling / voting
Real-time personalization
by crowd type
QR-less engagement
(hands, body language)
Time-of-day adaptive creatives
Features
Sub-50ms response to gestures
Real-time skeletal tracking
On-device classification (adult / child / group size)
Savings
70–95% reduction in video uplink costs
No continuous cloud inference fees
No raw video storage or compliance overhead
Data
Dwell time per creative
Engagement rate per interaction type
Conversion proxy (scan, interaction, play)
Performance
Stable frame rates in sunlight, weather, crowds
Continues working if LTE drops
Results
2–6× engagement vs static DOOH
Premium CPM justification
New sponsorship & gamification revenue
Use Cases
Touchless navigation
Store discovery by interest
Product recommendations
Brand-specific activations
Loyalty sign-ups
Visual try-ons (non-cloud)
Edge AI Advantages
Features
Vision + voice without cloud lag
Touchless UX (hygiene benefit)
Multilingual response instantly
Savings
Eliminates cloud CV + NLP per-session costs
Reduces staffing needs for information desks
Data
Path intent (what users were seeking)
Abandoned vs completed interactions
Heatmap of mall interest
Performance
Zero queueing delays
Consistent UX during peak hours
Results
Increased tenant value
Use Cases
Dynamic wayfinding
Security wait-time education
Gate-specific messaging
Language-adaptive signage
Sponsored travel experiences
Edge AI Advantages
Features
Real-time crowd flow analysis
Language auto-switching
Camera-based confusion detection
Savings
Reduced human support costs
No video transmission across secure networks
Data
Bottleneck detection
Dwell & confusion metrics
Sponsored engagement analytics
Performance
Works inside secure networks
Predictable latency for mission-critical use
Results
Reduced missed flights
Higher concession revenue
Use Cases
Interactive ride queues
Gamified waiting experiences
Personalized character moments
Ride photo activation
Crowd-aware entertainment
Edge AI Advantages
Features
Multi-person recognition
Emotion & excitement detection
No cloud latency for live reactions
Savings
Lower infrastructure costs per attraction
No per-guest AI fees
Data
Engagement during wait time
Ride anticipation metrics
Sponsorship activation analytics
Performance
Operates in dense, noisy environments
No dependency on park-wide connectivity
Results
Perceived wait-time reduction
Higher merch conversion
Use Cases
Hyper-localized advertising
Building announcements
Tenant-specific messaging
Touchless navigation
Executive concierge content
Edge AI Advantages
Features
Person-presence detection
Floor-aware content
Quiet, instant interaction
Savings
No network dependency in elevator shafts
Minimal infrastructure footprint
Data
Traffic patterns by time
Engagement by tenant type
Performance
Deterministic response in constrained environments
Results
Premium ad inventory
Tenant satisfaction lift
Building monetization
Use Cases
Interactive promotions
Loyalty activation
Real-time upsells
Gamified dwell engagement
Touchless interaction while fueling
Edge AI Advantages
Features
Reliable outdoor operation
Touchless engagement (safety)
Real-time offer optimization
Savings
No recurring inference fees
Minimal bandwidth usage
Data
Fueling dwell time
Offer performance
Conversion attribution
Performance
Works in heat, cold, glare
Zero dependency on backhaul quality
Results
Incremental in-store revenue
Higher loyalty adoption
Increased advertiser ROI
Financial Impact
• OPEX reduction: 40–90% vs cloud AI
• New revenue streams: games, sponsorships, data
• Higher CPMs: interactive > static DOOH
• Technical Superiority
• Deterministic latency
• Privacy-first by design
• Edge autonomy per screen
• Strategic Advantage
• Screens become intelligent assets, not displays
• Data ownership stays local
• Future-proof against network volatility
