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.