As AI reshapes the security industry, traditional network video recorders (NVRs) are evolving into intelligent systems capable of real-time video analytics and automated threat detection. In this case study, a global security systems integrator turned to an AI edge inference computer powered by Intel® Core™ Processors (Series 2) to support next generation Smart NVR applications. With Intel® Metro AI Suite providing development tools and reference applications for AI powered video analytics, the solution lays the foundation for smarter surveillance at the edge.
Challenges
- Insufficient processing capabilities to support evolving AI video analytics and multiple surveillance workloads
- Limited system memory for concurrent video processing and data intensive applications
- Inflexible storage configurations for operating systems, application data, and continuous video recording
- Lack of high-capacity NVMe storage with redundancy and convenient drive maintenance
- Conventional computing hardware unable to meet rugged deployment and regulatory requirements
Solution
- Premio’s AI edge inference computer (RCO-6000-RPL-4NH)
- Intel® Core™ Processors (Series 2) with Intel® Metro AI Suite software tools for developing and evaluating intelligent video analytics
- Dual DDR5 SODIMM sockets supporting up to 96GB of ECC memory
- EDGEBoost Nodes technology for flexible NVMe storage expansion with four hot-swappable SSD bays and hardware RAID support
- Rugged design with wide operating temperature and DC power input
- UL, FCC, and CE certified for safety and regulatory compliance
Benefits
- Los Angeles based headquarters for accessible technical support
- NDAA and TAA compliance for government procurement
Company Overview
A global systems integrator specializes in electronic security, fire and life safety, and building technology solutions for complex commercial and industrial environments. Its expertise spans the design, integration, and management of security infrastructure where system reliability and continuous operation are essential. As demand for intelligent surveillance grows, the organization is expanding its capabilities in AI-enabled video analytics and distributed edge computing.
Application Overview
Mobile security trailers are increasingly used to monitor construction sites, parking lots, and remote facilities where permanent surveillance infrastructure may not be available. Equipped with security cameras and onboard computing systems, these trailers capture video footage and support continuous monitoring directly at the deployment site.
Inside the security trailer, the RCO-6000-RPL-4NH AI edge inference computer serves as the central computing and storage solution. It processes incoming camera streams and supports local storage of recorded footage, including video evidence needed for incident investigation. With four hot swappable NVMe SSD bays and hardware RAID support, the system provides flexible storage capacity and data protection for continuous surveillance operations.
Beyond traditional video recording, Intel® Metro AI Suite provides development tools and reference applications to enable Smart NVR capabilities. Its AI powered video analytics can help identify suspicious activities, detect unauthorized access, and generate summaries of recorded events when the appropriate applications are deployed. By processing video data locally, the solution can reduce reliance on cloud infrastructure while enabling faster access to actionable security insights.
The Challenges
Before adopting the RCO-6000-RPL-4NH AI edge inference computer, the systems integrator faced several challenges in supporting reliable video surveillance and emerging AI analytics within mobile security trailers.
Processing Demands of AI Video Analytics
Modern surveillance systems are moving beyond traditional video recording to support intelligent analytics, automated event detection, and faster security response. For the systems integrator, this evolution creates greater processing demands as multiple camera streams and analytics applications must operate simultaneously. Conventional computing platforms can struggle to provide the processing headroom needed to expand these capabilities without introducing additional hardware complexity.
Memory Limitations for Concurrent Surveillance Workloads
Inside mobile security trailers, the existing computing systems faced memory limitations when handling multiple camera streams alongside video management and analytics applications. As surveillance workloads increased, limited memory capacity created potential performance bottlenecks and restricted the ability to run additional applications simultaneously. The integrator needed greater memory capacity to support more demanding security workloads and future AI analytics capabilities.
Storage Flexibility for Video Recording and System Operations
The integrator's existing storage configuration lacked the flexibility to manage continuous video recording alongside essential system applications. With growing surveillance demands, expanding storage capacity became increasingly challenging, particularly when balancing recorded footage with operating system requirements. A more adaptable storage architecture was needed to accommodate different storage devices and support future expansion.
High-Capacity Storage and Data Protection
Continuous video surveillance generates substantial amounts of data, particularly when multiple cameras operate around the clock. Storage failures or lengthy drive replacement procedures can disrupt recording operations and create gaps in retained footage. The integrator needed high-performance storage with RAID capabilities and accessible drive bays to support data availability and more efficient maintenance.
Rugged Reliability and Regulatory Requirements
Mobile security trailers are frequently deployed in outdoor environments where extreme temperatures and fluctuating power conditions can affect system reliability. Prolonged exposure to these conditions can increase the risk of hardware failures and disrupt continuous surveillance operations. The integrator needed a rugged computing solution capable of withstanding harsh environments while meeting UL safety certification requirements.
The Solution
Premio’s AI Edge Inference Computer (RCO-6000-RPL-4NH)
After a detailed evaluation of the application requirements, the systems integrator selected the RCO-6000-RPL Series AI edge inference computers to support its mobile security trailer deployments. Designed for demanding edge AI applications, the series features a modular EDGEBoost Nodes architecture that allows additional expansion layers for GPU acceleration, NVMe storage, or SSD configurations. For this application, the RCO-6000-RPL-4NH was selected for its powerful Intel® Core™ Processors (Series 2), rugged fanless design, and four hot swappable NVMe SSD bays with hardware RAID support, providing the processing performance and storage flexibility needed for intelligent video surveillance.
Beyond EDGEBoost Nodes, the system features two EDGEBoost I/O expansion brackets that support additional networking, connectivity, and AI acceleration options. Available modules include multiport Gigabit Ethernet, 10GbE, USB, M.2 expansion for AI or NVMe storage, 5G connectivity, and out of band management. Combined with comprehensive onboard I/O and wireless connectivity expansion options, this modular design gives systems integrators the flexibility to connect cameras, integrate peripheral devices, and adapt the computing solution to different security deployment requirements.
Intel® Core™ Processors (Series 2) and Intel® Metro AI Suite for Intelligent Video Analytics
The RCO-6000-RPL Series supports Intel® Core™ Processors (Series 2), delivering powerful computing performance for AI video analytics and demanding security applications. Built on a hybrid architecture with Performance cores (P cores) and Efficient cores (E cores), these processors help balance demanding processing tasks with background workloads. This allows systems integrators to support video management software and AI analytics on a single edge computing solution.
Intel® Metro AI Suite for Accelerated AI Development
Beyond hardware performance, Intel® Metro AI Suite provides an open-source software framework designed to accelerate the development of Vision AI and Generative AI applications. It offers libraries, development tools, and reference implementations tailored to safety and security, transportation, and critical infrastructure applications.
The suite helps developers simplify three key stages of AI deployment:
- Validate and Size AI Systems: Evaluate hardware configurations and determine computing requirements based on specific AI workloads
- Demonstrate AI Acceleration and Real Time Performance: Benchmark AI inference and video processing pipelines to assess performance and optimize resource utilization
- Accelerate AI Application Development: Leverage prebuilt reference implementations and reusable software components to develop AI applications faster without starting from scratch
Enabling Smart NVR Applications with Generative AI
One of the key applications demonstrated within Intel® Metro AI Suite is Smart NVR, which transforms traditional network video recording into intelligent surveillance through Generative AI powered video analytics.
Instead of relying solely on continuous video recording and manual footage review, Smart NVR applications can analyze video streams locally to identify relevant events and provide contextual insights. This enables security operators to respond more efficiently while reducing the effort required to investigate recorded footage.
Intel's Smart NVR reference application demonstrates several capabilities relevant to mobile security trailers:
- Intelligent Event Detection: Identify suspicious activities or unauthorized access through integrated video analytics
- Video Search and Summarization: Search recorded footage and generate concise summaries of important events
- Local AI Processing: Analyze video data at the edge to reduce unnecessary data transmission and reliance on cloud processing
- Scalable Video Analytics: Integrate additional analytics capabilities through a modular software architecture
For the systems integrator, Intel® Metro AI Suite provides a development foundation for expanding mobile security trailers beyond conventional surveillance. Combined with the processing capabilities of the RCO-6000-RPL Series, it creates opportunities to deliver smarter video monitoring and more efficient incident investigations directly at the edge.
Up to 96GB DDR5 Memory for Concurrent Applications
The RCO-6000-RPL features two 262 pin DDR5 SODIMM sockets supporting 4800/5600 MT/s memory speeds and up to 96GB of total capacity, with ECC and Non ECC options. This capacity provides room for video management software, analytics processes, and other system applications to operate concurrently, reducing memory-related constraints as workloads grow. ECC memory support also offers an additional data integrity option for compatible processor configurations in applications where reliability is a priority.
Flexible SATA and M.2 Storage for System Integration
To support the diverse storage needs of mobile security trailers, the RCO-6000-RPL offers flexible options for system applications and surveillance data. It features an internal 9mm 2.5-inch SATA drive bay and a hot swappable 7mm 2.5-inch SATA drive bay, allowing the integrator to configure storage based on application requirements. An additional M.2 B Key slot supports compatible NVMe storage or expansion modules, providing greater flexibility as surveillance workloads evolve.
EDGEBoost NVMe Storage with Hardware RAID Protection
For video intensive surveillance applications, the RCO-6000-RPL incorporates EDGEBoost Nodes with four hot swappable 15mm 2.5-inch U.2 NVMe SSD bays. The storage architecture supports hardware RAID 0, 1, 5, 6, and 10, giving integrators the flexibility to prioritize storage performance, capacity utilization, or drive failure protection according to deployment requirements. Hot swappable drive access also simplifies storage servicing, while redundant RAID configurations can help maintain data availability when a drive fails.
Rugged Design for Distributed Security Environments
Designed for industrial edge deployment, the RCO-6000-RPL operates across a temperature range of negative 25°C to 60°C and supports a wide 9V to 48V DC power input. Its fanless construction reduces reliance on moving cooling components, while its heavy-duty metal enclosure supports operation in demanding installations. The solution also incorporates power protection features and industrial shock and vibration specifications, helping integrators deploy surveillance computing closer to the point of data collection.
Safety Certification and Compliance Considerations
For mobile security trailers deployed across different environments, electrical safety and regulatory compliance are important considerations when selecting industrial computing hardware. The RCO-6000-RPL meets UL 62368 safety standards and carries FCC Class A and CE certifications, supporting integration into industrial security applications. These certifications help the systems integrator address safety requirements and streamline hardware qualifications for future deployments.
The Benefits
Los Angeles Based Headquarters
Premio's headquarters is located in Los Angeles, California, with additional locations in Chicago and Taiwan to provide responsive customer service and technical support across global markets. Backed by ISO certified quality management processes, Premio maintains consistent standards in product quality and customer service. With access to experienced engineering teams and regional support resources, systems integrators can receive timely assistance with hardware configuration, troubleshooting, and system customization. This global presence helps streamline communication, reduce deployment delays, and ensure reliable support throughout the project lifecycle.
NDAA and TAA Compliance
NDAA and TAA compliance are important considerations for security deployments involving U.S. government agencies and federally funded projects. The National Defense Authorization Act (NDAA) includes restrictions on certain telecommunications and video surveillance equipment from designated manufacturers, while the Trade Agreements Act (TAA) establishes country of origin requirements for products purchased under applicable government contracts. By offering compliant hardware configurations, Premio helps systems integrators navigate these procurement requirements and simplify hardware selection for government security projects. This enables greater confidence when pursuing opportunities in federal security, critical infrastructure, and other regulated markets.
Conclusion
As the security industry moves toward smarter surveillance, the RCO-6000-RPL provides the rugged computing performance and scalable storage needed to bring AI capabilities closer to the edge. Powered by Intel® Core™ Processors (Series 2) and supported by Intel® Metro AI Suite's development tools and Smart NVR reference applications, the solution opens new opportunities for intelligent video analytics and more efficient incident investigations. For the systems integrator, this combination creates a foundation for transforming traditional mobile security trailers into smarter surveillance solutions ready for the next generation of AI driven security.