Key Takeaway
Explore cutting-edge LPR systems using AI-powered SBCs to enhance border control with precision, resilience, and cost-effective upgrades.
Intro
Border control systems must maintain smooth, rapid traffic flow through early risk detection and real-time monitoring. Automated License Plate Recognition (ALPR/LPR) captures plate data well in advance to minimize manual inspections and avoid bottlenecks. These advanced systems ensure superior recognition accuracy, seamless scalability, and long-term upgradeability while significantly reducing operational costs.
Challenges
Modern LPR systems face significant deployment hurdles, including strict camera calibration, restricted capture zones, and driver-distracting strobe lighting. Additionally, closed proprietary architectures and harsh environmental extremes—ranging from arid desert heat to subzero conditions—often lead to operational failure. To overcome these challenges, deployments require exceptional read accuracy, ruggedized designs built for harsh environments, and open, modular architectures that facilitate future upgrades.
Solutions and Technologies
The next-generation LPR solution leverages the MIO-5380 single board computer (SBC) with discrete MXM GPU support, enabling scalable AI and modular upgrades. Ruggedized design and in-house conformal coating ensure durability under extreme conditions.
- MIO-5380 – AMD Ryzen™ AI Embedded P100, operating temperature -40~85°C
- MIOe-UMXM – MXM Type-A to Type-B+ expansion via USB4
- SKY-MXM-A4500 – NVIDIA® Quadro® Embedded A4500 with MXM 3.1 Type-B+ for ultimate performance and low power
- In-house automated conformal coating process
- EdgeBMC provide the out-of-band management for remote device control, even when
the OS or BIOS crashes.
Benefits
- Compact size for easy system integration
- Wide temp. operation for outdoor or rugged environments
- Std. USB4 with PCIe tunneling and MCIO with a PCIe Gen.4 x4 extension for discrete GPU
