Skip to main content
ABOX-5221(P)(G)-IP66
ABOX-5221(P)(G)-IP66

Edge AI Rugged Computer
ABOX-5221(P)(G)-IP66 Series

Intel® Core™ Series 2 Processors with Discrete GPU Options, High-Bandwidth 10GbE and IP66 Edge AI Computer

• Intel® Core™ Series 2 Processors
• NVIDIA RTX™ Embedded and Intel® Arc™ GPU Options for Scalable AI Accelerating Solution
• 2 x Marvell 10GbE for High-Bandwidth Uplink and Aggregated Downlink Connection
• 4 x 2.5GbE with PoE+ Option Provides Simplified Connection to Edge Devices
• Front Removable RTC Battery Design for Easy Maintenance
• IP66 Ingress Protection

Product Status: Sample Available
Conformité Européenne FCC Certification E-Mark Certification EN 50155 Wide voltage Wide temperature Fanless
Inquiry Datasheet

IP66 Rugged Edge AI Computer for High-Reliability Applications

The ABOX-5221(P)(G)-IP66 combines IP66 protection, GPU-accelerated AI computing, and rugged M12 connectivity for harsh industrial, transportation, defense, and outdoor autonomous environments. Its dust-tight enclosure resists powerful water jets, while M12 connectors provide secure connections for power, Ethernet, DIO, and serial interfaces in vibration-prone installations.

Powered by Intel® Core™ Series 2 processors, the system offers NVIDIA RTX™ Embedded Ada Generation and Intel® Arc™ GPU options, delivering up to 682 AI TOPS with the NVIDIA RTX™ Embedded 5000 Ada GPU. Up to 96GB of DDR5 memory with optional ECC, dual 10GbE ports, and four 2.5GbE ports enable demanding AI inference, multi-camera processing, and high-bandwidth data aggregation at the edge.

With 18–60V DC input, ignition detection, and a front-access RTC battery, the platform combines flexible power integration with convenient maintenance. Operating temperatures range from −40°C to 70°C with 0.6 m/s airflow, depending on the selected GPU and installed accessories.

ABOX-5221(P)(G)-IP66

Rugged Edge AI Computing for Mission-Critical Applications

The ABOX-5221(P)(G)-IP66 brings local AI processing and rugged connectivity to deployments exposed to dust, water, vibration, and demanding computing workloads.

  • Industrial Automation
    Enables machine vision, automated inspection, and equipment monitoring through GPU-accelerated processing and high-bandwidth camera connectivity.

  • Transportation
    Provides onboard computing for video analytics, hazard awareness, and vehicle data aggregation, with M12 connectivity and ignition-controlled power management.

  • Military & Defense
    Enables local image analysis, environmental perception, and sensor data processing for unmanned ground vehicles and other mobile defense platforms.

  • Outdoor Autonomous Systems
    Provides edge AI computing for mining equipment, agricultural machinery, and remote monitoring installations where environmental protection and reliable device connectivity are essential.

Edge AI Solutions for Diverse Industrial Applications

Edge AI is transforming how industries collect, analyze, and act on data in real time. By processing AI workloads directly where data is generated, organizations can reduce latency, improve operational efficiency, and enable faster decision-making without relying on cloud connectivity. From industrial automation and machine vision to autonomous mobility and intelligent transportation, SINTRONES rugged Edge AI computing platforms deliver the performance, reliability, and scalability required for mission-critical deployments. Discover how Edge AI is driving innovation across diverse industries and empowering businesses to bring AI closer to where it creates the greatest impact.

 

Technical FAQ

Q1. What makes the ABOX-5221(P)(G)-IP66 suitable for harsh industrial and outdoor deployments?

The system combines an IP66 enclosure with M12 connectors for power, Ethernet, DIO, and serial interfaces. IP66 protects against dust ingress and powerful water jets, while M12 connectors provide secure connections in vibration-prone installations. Its environmental specifications also include MIL-STD-810H vibration and shock testing for demanding mobile applications.

Q2. Can the system process multiple camera streams locally when network connectivity is limited?

Yes. Intel® Core™ Series 2 processors and optional discrete GPUs enable AI inference and video analytics directly on the system, reducing reliance on cloud processing. The platform is suitable for onboard perception, industrial inspection, and remote monitoring. Actual stream capacity and inference latency depend on the selected GPU, AI model, image resolution, and application software.

Q3. How can I integrate cameras and sensors while simplifying wiring?

Four M12 X-coded 2.5GbE ports connect compatible Ethernet cameras and devices. Optional PoE+ delivers up to 25.5W per port through the same cable, simplifying power and data wiring. Dual 10GbE ports provide high-bandwidth connections for data aggregation and network uplinks. USB, DIO, and RS-232/422/485 interfaces accommodate additional sensors and control devices. Confirm device power requirements and interface compatibility before integration.

Q4. How should I select a configuration for high AI workloads and extreme temperatures?

Evaluate computing performance and environmental requirements together. RTX™ Embedded 5000 Ada and 3500 Ada configurations are rated for 0°C to 60°C; RTX™ Embedded 2000 Ada and Intel® Arc™ A370E configurations are rated for 0°C to 70°C. The general −40°C to 70°C specification requires 0.6 m/s airflow and varies with installed accessories. For outdoor installations or enclosed equipment bays, confirm the complete configuration’s temperature rating and cooling conditions before deployment.

Q5. How does the system address vehicle power fluctuations and unexpected power loss?

The system accepts 18–60V DC input and includes ignition detection, smart power management, and protection against overcurrent, overvoltage, surges, and reversed polarity. An optional battery backup unit provides up to 10 minutes of emergency power, depending on system consumption and battery charge. Applications requiring data preservation and controlled shutdown should implement an appropriate shutdown procedure. Installing the battery kit limits operating temperatures to −10°C to 60°C.

Processing