Overview
A global technology leader sought a powerful yet compact edge computing platform to capture and process high-resolution road imagery directly from moving vehicles. The system needed to sustain nonstop performance under vibration, wide temperature ranges, and fluctuating power conditions while handling massive data throughput at the edge. Premio’s rugged AI edge inference computer provided the ideal balance of endurance, intelligence, and modular scalability to power continuous in-vehicle data collection and analysis.
Challenges
- Need for a low-power yet high-performance processor with long lifecycle stability
- Demand for dual-channel DDR5 memory with ECC for reliable real-time data processing
- Requirement for flexible expansion options to support high-speed networking and additional storage
- Necessity for seamless in-vehicle integration with power ignition control, CANBus, and wireless connectivity
- Need for a rugged, certified system capable of enduring wide temperature ranges, voltage variations, and vehicle vibration
Solution
- Premio’s rugged AI edge inference computer (RCO-6000-RPL)
- Equipped with Intel® 13th Gen “TE” processors, offering low-power performance and a 10-year lifecycle for sustained reliability
- Dual DDR5 memory with ECC ensuring fast, error-free data handling during continuous image capture and inference tasks
- Scalable EdgeBoost I/O supporting M.2 M-Key NVMe for high-speed storage expansion and flexible configuration
- EdgeBoost Node with 1x PCIe Gen 4 x16 slot for high-speed networking and 2x 15mm hot-swappable 2.5" NVMe SSD bays supporting RAID 0/1 for redundancy and fast data offload
- Integrated CANBus communication and power ignition for synchronized in-vehicle operation along with built-in Wi-Fi and Bluetooth connectivity
- Rugged fanless design meeting MIL-STD-810G standards with wide operating temperature, wide power input, and world-class certifications (CE, FCC, NDAA, TAA) for reliable field deployment
Benefits
- Global Engineering Support
- Custom Preloaded Configurations
Company Overview
A leading force in digital mapping and cloud-based mobility intelligence, this global enterprise develops advanced platforms that transform how transportation data is captured, processed, and shared. Its technologies underpin real-time navigation systems, geospatial analytics, and intelligent traffic management solutions worldwide. Looking ahead, the company continues to expand AI integration at the edge, enhancing situational awareness and enabling next-generation autonomous mobility.
The Challenges
Low-power, high-performance processing with long lifecycle stability
To maintain consistent performance within the confined space of vehicles, engineers needed a processor that balanced computational strength with power efficiency. Frequent CPU transitions could interrupt production cycles, making a long-lifecycle embedded solution essential. The Intel® “TE” processor offered the perfect fit, combining low-power consumption with a 10-year roadmap for dependable longevity.
Reliable real-time data processing with dual DDR5 ECC memory
Capturing road-level imagery at scale required rapid data throughput and real-time validation. Dual-channel DDR5 memory with ECC ensured that every frame was written and analyzed without data corruption or latency. This architecture delivered the stability necessary for nonstop vehicle operations in data-intensive conditions.
Flexible expansion for networking and storage
Each vehicle required both high-speed network connectivity and scalable local storage to manage increasing data volumes. Engineers needed a modular architecture that allowed upgrades without redesigning the system. The RCO-6000-RPL’s built-in expansion capability ensured it could adapt to evolving bandwidth and storage needs as projects scaled.
Seamless in-vehicle integration and connectivity
Integrating with onboard vehicle systems demanded synchronized power control and communication. Power ignition management ensured safe startups and shutdowns, while CANBus enabled real-time interaction with vehicle diagnostics. Built-in Wi-Fi and Bluetooth extended flexibility for data sync and telemetry access during operation or maintenance.
Rugged design and certification for extreme environments
Operating in unpredictable road and weather conditions required a system built for endurance. The computer had to withstand vibration, dust, and temperature extremes without performance degradation. MIL-STD-810G compliance, wide temperature operation, and broad voltage input range provided the robustness and dependability needed for demanding field deployments.
The Solution
Premio’s rugged AI edge inference computer (RCO-6000-RPL)
Designed for extreme reliability, Premio’s RCO-6000-RPL combines Intel® 13th Gen Raptor Lake “TE” processors with fanless industrial engineering to deliver powerful edge AI performance. Its modular design supports scalable storage, I/O, and accelerator options while maintaining low power consumption for mobile and remote deployments. With a 10-year lifecycle, it forms a stable foundation for long-term vehicle-based data operations.
Efficient performance with Intel® “TE” processor and DDR5 ECC memory
The energy-efficient Intel® “TE” CPU, paired with dual DDR5 ECC memory, allows the system to handle simultaneous data ingestion, processing, and transfer tasks seamlessly. This combination ensures reliable inference workloads and minimizes the risk of system errors or downtime.
Scalable architecture for networking and storage
With EdgeBoost I/O and modular EdgeBoost Nodes, the system provides M.2 M-Key NVMe support for rapid data access and an additional PCIe Gen 4 x16 slot for 10GbE or higher-speed network cards. Dual 15mm NVMe SSD bays with hot-swap capability simplify data rotation and maintain fleet uptime in the field.
Integrated in-vehicle communication and wireless connectivity
Power ignition and dual CANBus integration synchronize the computer’s operation with the vehicle’s power state and internal systems. Combined with Wi-Fi and Bluetooth, the platform ensures seamless connectivity and control for telematics, diagnostics, and wireless data transfers.
Rugged and certified for global reliability
Built to military-grade standards, the RCO-6000-RPL endures harsh environments while maintaining consistent performance. With wide operating temperature, wide voltage input, and global certifications (CE, FCC, NDAA, TAA), it ensures compliance and reliability across diverse deployment regions.
The Benefits
Global Engineering Support
Premio’s global engineering teams in the US and Taiwan provided responsive assistance for technical issues. This accessible support minimized downtime and ensured smooth integration across regions.
Custom Preloaded Configurations
A preconfigured BIOS and OS image from Premio allowed instant deployment upon arrival. This customization simplified installation and ensured consistency across multiple vehicles.
Conclusion
By integrating Premio’s rugged RCO-6000-RPL edge AI computer into its vehicle fleet, the technology leader achieved resilient, high-speed data capture directly at the edge. The platform’s powerful yet efficient processing, modular scalability, and vehicle-ready design ensured reliability under the most demanding conditions. This deployment established a solid foundation for intelligent, real-time mapping and future AI-driven transportation solutions.