20-Second Airport Security Check:
Advanced Facial Recognition And Inference Analysis At The Edge

RCO-6000-KBL AI Edge Inference Computer system supports time-sensitive, high-performance edge workloads in real-time

Airport traffic demands advanced security technology delivering

Rapid Response Times

Enhanced Security

Reduced Cost

Accurate, Effective Scanning

Minimal Latency & Downtime

Enhanced Security

Full Automation

Improved Airport Productivity, Safety and Convenience

GPU embedded computing efficiently and accurately screens passenger traffic with greater identification reliability, increasing travel security. The platform supports machine learning that refines system performance with each biometric processing. GPU embedded system reduce bottlenecks that impact customer satisfaction and airport throughput. The system has the processing power to consolidate unmanned security touch-point workloads by controlling displays, document scanners, sensors, cameras and mechanical security gates.

Intelligent Analytics

The GPU edge computer delivers actionable analytics that can quickly detect threat patterns to reduce response times. Robust AI-enabled medical inference analysis can help identify contagion symptoms to prevent illness outbreaks beyond security touch-points. Centralized traffic management and can more efficiently direct passenger flow to accommodate airport travel peak times and scheduled travel surges.

Rugged Edge Computer; Flexible Application

GPU computers perform continuously without downtime or latency to preserve passenger flow. The VCO-6000-KBL-1050TI is tested in extreme conditions to endure heavy airport foot-traffic environments. Its rich I/O expandability featuring 12x USB and 8x COM supports all connected gate devices and sensors.

Evolved Graphic Processing

GPU supports accelerated deep-learning inference delivering faster, more accurate facial recognition. As it collects increasing image data, its abilities to identify features at greater distances and recognize increasingly-sophisticated identity deceptions advance. These strengths make Premio's GPU edge computer ideal for machine vision, traffic regulation, telemedicine, voice recognition and myriad graphics-dependent Industry 4.0 or IIoT deployments.

VCO-6000-CFL-4M2 Machine Vision Computer with 9th Gen Intel® Core™ Processor, 4x Hotswap M.2 NVMe

Engineered for holistic inference analysis to enable AI at the rugged edge.  The AI Edge Inference Computer incorporates advanced processing, rich GPU support and scalable, hot-swappable NVMe into versatile, rugged hardware for volatile, unsparing settings.

  • Supports Intel® 9th Gen. CFL-R S Processors and Q370 chipset
  • Innovative NVMe support via four hot-swappable trays
  • High-speed IoT via 10GbE, 5G, USB 3.2 Gen 2
  • Data immediacy for reflexive hyperintelligence
  • Fanless, reliable design for the rugged edge

Industrial GPU Computer

Industrial GPU computers are essential in inference analysis and edge computing applications that leverage real-time data analysis from a discrete graphics engine. Industrial applications in machine vision, metrology and inspection, security and surveillance, and inference recognition are some examples where Industrial GPU computers are beneficial.

Sleek Modular Designs And Multiple Independent Displays
  • Extended MTBF
  • Strict board-level validation for longevity
  • Customizable I/O modules for legacy and next-gen data speeds
  • X6 display supported by 2x DVI-I, 3x Display Port, 1x HDMI
Designed for the Harshest Operating Environments
  • From -40°C to 70°C extended operating temperature
  • Fanless passive cooling for long-term reliability
  • MIL-STD810G 5Grms Vibration, 5 - 500 Hz, 0.5 hr/axis
  • MIL-STD810G 50G Shock, half sine, 11ms
Powerful Dedicated Grahics Engine
  • Industrial Grade NVIDA GeForce GTX 1050Ti
  • RTX 2060 Super Mini
Wide Input Voltage And Power Protection
  • 9-48VDC support
  • Over voltage, Over current, Reverse current protection
Wireless IoT Connectivity And Security
  • WiFi and Bluetooth
  • LTE category 4
  • TPM 2.0 Support