Overview
Retail digital signage is shifting from static playback to intelligent, real-time experiences. To support this transition, a retail fuel station operator deployed Premio’s BCO-500-MTL, leveraging Intel® Core™ Ultra processors and 11 TOPS-class edge AI performance to enable audience-aware advertising directly at the edge.
This deployment highlights how right-sized edge computing and industrial-grade hardware make scalable, intelligent signage practical in real-world retail environments.
Challenges
- Static, schedule-based content limited engagement
- Insufficient compute for simultaneous media + AI workloads
- No real-time visibility into audience presence
- Space-constrained, thermally limited deployment environments
- Reliability issues with consumer-grade systems
Solution
- Deployed BCO-500-MTL fanless industrial edge platform
- Powered by Intel Core Ultra processors with 11 TOPS-class AI performance
- Enabled local AI inference + media playback on a single system
- Integrated with cameras and signage software for audience awareness
- Designed for compact, rugged, always-on edge deployment
Benefits
- Dynamic, audience-aware content improves engagement
- Efficient, right-sized AI without overprovisioning compute
- Reliable 24/7 operation in constrained environments
- Scalable deployment across multiple retail locations
- Low-latency performance with no cloud dependency
Company Overview
A retail fuel station operator sought to modernize its in-store advertising by transitioning from static digital signage to a more responsive, data-driven solution.
With multiple locations and high customer turnover, the retailer required a system that could operate reliably in constrained environments while improving the relevance and effectiveness of displayed content.
Challenges
Static Advertising Reduced Engagement
Traditional signage systems relied on fixed schedules, limiting the ability to adapt content based on real-time audience presence.
Limited Edge Processing Capability
Existing hardware struggled to simultaneously support high-resolution media playback and video analytics, resulting in reduced responsiveness.
Lack of Real-Time Audience Visibility
The retailer had no direct way to measure audience presence or engagement at the point of display.
Deployment Constraints
Systems needed to fit within space-limited kiosks and enclosures with restricted airflow and challenging thermal conditions.
Reliability Limitations
Consumer-grade systems were not designed for continuous operation, leading to overheating and increased maintenance.
Solution
Industrial Edge Platform for Intelligent Signage
The retailer deployed Premio’s BCO-500-MTL fanless industrial mini computer as the core processing platform for each signage node.
Powered by Intel® Core™ Ultra processors, the system delivers a balanced combination of compute performance, connectivity, and reliability—enabling both media playback and AI processing at the edge.
Key platform capabilities include:
- Dual DisplayPort outputs for independent signage playback
- 3x 2.5GbE LAN ports for camera and network connectivity
- DDR5 memory and NVMe storage support for responsive performance
- Compact, fanless design for deployment in constrained environments
- Wide operating temperature range for reliable edge operation
Right-Sized Edge AI Performance (11 TOPS-Class)
The solution was designed around efficient, right-sized AI workloads within an 11 TOPS-class performance envelope, enabling real-time inference without requiring overbuilt infrastructure.
Using optimized computer vision applications running on the platform, the system enables:
- Audience presence detection
- Basic demographic estimation (age range, gender classification)
- Dwell-time and engagement analysis
AI inference is performed selectively on frames from 1–2 camera streams, ensuring efficient resource utilization while maintaining system responsiveness.
Audience-Aware Content Delivery
When integrated with AI-enabled video analytics and signage software, the system enables dynamic content adaptation based on real-time inputs.
This allows the system to:
- Identify general audience characteristics
- Apply predefined content rules
- Update displayed advertisements dynamically
This transforms traditional signage into a responsive, context-aware engagement platform.
Benefits
Improved Advertising Relevance
Dynamic, audience-aware content increases engagement compared to static signage.
Efficient Edge AI Performance
Right-sized AI workloads deliver actionable insights without excessive compute requirements.
Reliable Continuous Operation
The fanless, industrial-grade design ensures stable 24/7 performance in retail environments.
Scalable Deployment
Independent edge nodes enable rollout across multiple locations with consistent performance.
Low-Latency, Edge-Based Processing
Local AI inference eliminates cloud dependency, ensuring fast response and operational reliability.
Conclusion
Retail digital signage is undergoing a fundamental shift toward intelligent, edge-powered experiences.
By deploying Premio’s Intel-powered BCO-500-MTL, the retailer successfully transformed static displays into an audience-aware platform—demonstrating how the right hardware foundation enables scalable, real-time AI at the edge.
Operating within an 11 TOPS-class performance envelope, this solution shows that right-sized edge computing—combined with industrial reliability—is key to delivering practical, high-impact digital signage in modern retail environments.