Overview
As trucking and logistics facilities turn to automation to move drivers and cargo through gates more efficiently, intelligent kiosks must process increasingly sophisticated machine vision and AI workloads directly at the edge. An automated kiosk manufacturer needed a rugged computing platform capable of supporting AI-driven gate and security operations while maintaining reliable performance across challenging outdoor conditions. Premio’s JCO-6000-ORN Series, a high-performance NVIDIA Jetson AGX Orin edge AI computer provided the processing performance, rugged design, remote management capabilities, and flexible connectivity required for these intelligent kiosks.
Challenges
- Insufficient rugged AI processing performance for machine vision and other AI workloads at automated trucking gates
- Need for reliable operation across wide temperatures in kiosks exposed to changing environmental conditions
- Limited flexibility for high-speed storage, peripheral connectivity, and future I/O requirements
- Need for wireless connectivity to support distributed kiosk deployments
- Lack of out of band management for remotely deployed edge AI systems
Solution
- Premio’s high-performance NVIDIA Jetson AGX Orin edge AI computer (JCO-6000-ORN Series)
- NVIDIA Jetson AGX Orin 32 GB with up to 200 TOPS of AI performance
- High-speed NVMe storage support
- Flexible I/O connectivity with 2x EDGEBoost I/O expansions support
- 4G/5G and WiFi/Bluetooth wireless connectivity support
- Premio’s remote management solutions
- Wide operating temperature from -20°C to 55°C
Benefits
- Reliable AI processing at automated gates
- Flexible and remotely manageable kiosk deployments
- Responsive application engineering and technical support
Company Overview
Focused on automation for the trucking industry, the company develops intelligent kiosks that streamline facility gate and security operations. Its systems combine machine vision, AI, and automated workflows to improve driver throughput, cargo verification, and overall facility efficiency. Continued development of intelligent gate technology is helping logistics facilities move toward increasingly automated and connected operations.
The Challenges
Rugged Edge AI Processing
The kiosks required rugged NVIDIA Jetson AGX performance to run machine vision and other AI workloads directly at trucking facility gates. The system needed enough processing capability to support responsive driver, cargo, and security workflows.
Wide Temperature Reliability
Kiosks deployed near facility gates can experience significant temperature changes throughout the day. The edge computer needed to maintain reliable operation across a wide temperature range.
Flexible Storage and I/O
Machine vision and automation systems require fast local storage and connectivity for cameras, networking, and other peripherals. The manufacturer needed a platform that could adapt to different kiosk configurations without redesigning the core system.
Wireless Connectivity
Distributed kiosk deployments may rely on different facility network environments. Support for cellular and local wireless connectivity was needed to provide greater deployment flexibility.
Remote System Management
Physically servicing deployed kiosks can increase maintenance time and operational complexity. The manufacturer needed out of band management for remote monitoring, troubleshooting, and system maintenance.
The Solution
Premio's High-Performance NVIDIA Jetson AGX Orin Edge AI Computer (JCO-6000-ORN Series)
The JCO-6000-ORN Series was integrated inside the automated kiosks as the edge computing platform responsible for running AI workloads. The selected configuration uses the NVIDIA Jetson AGX Orin 32 GB module, delivering up to 200 TOPS of AI performance. Inside the kiosk, this processing capability provides the computational foundation for machine vision and other AI tools used in automated facility workflows.
High-Speed NVMe Storage
The JCO-6000-ORN Series supports high speed NVMe storage through an M.2 M Key PCIe x4 interface. This provides fast local storage for AI applications and machine vision data inside the kiosk.
Flexible EDGEBoost I/O Expansion
2x EDGEBoost I/O expansion brackets allow the kiosk manufacturer to configure connectivity based on deployment needs. Supported options include Ethernet, PoE, USB, 10 GbE, additional NVMe storage, and remote management.
Wireless Connectivity
Support for 4G/5G and WiFi/Bluetooth gives the kiosks flexible wireless communication options. This helps accommodate trucking facilities with different network infrastructure and connectivity requirements.
Premio’s Remote OOB Management Solution
Premio’s Remote OOB management solution enables hardware based remote access through a dedicated RJ45 connection. It supports 24/7 monitoring, remote updates, configuration, and troubleshooting for deployed kiosk systems.
Wide Temperature Operation
The JCO-6000-ORN Series supports operation from -20°C to 55°C under documented configurations. This helps maintain reliable edge AI performance in kiosks exposed to changing environmental conditions.
The Benefits
Reliable AI at the Edge
High-performance NVIDIA Jetson AGX Orin processing gives each kiosk the computing resources needed to run machine vision and AI workloads directly at facility gates.
Easier Deployment and Management
Modular I/O, wireless connectivity, and OOB management provide greater flexibility for deploying and maintaining kiosks across different trucking facilities.
Local Engineering Support
Strong application engineering and technical support provide the manufacturer with direct expertise when integrating and deploying the edge AI platform, backed by support resources from Premio’s Los Angeles area headquarters.
Conclusion
By combining rugged edge AI performance, flexible expansion, wireless connectivity, and remote management, the JCO-6000-ORN Series provides a scalable computing foundation for automated trucking facility kiosks. The solution enables the manufacturer to run demanding AI workloads directly at the gate while supporting reliable operation and easier management in distributed deployments. As trucking facilities continue adopting automation, this edge computing architecture helps create a foundation for faster, smarter, and more connected gate operations.
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