Overview
As cities and commercial properties embrace smarter infrastructure, intelligent parking systems increasingly rely on computer vision and industrial edge AI computing to improve parking visibility, automate enforcement, and optimize facility operations. A U.S. based smart parking technology provider needed a reliable hardware platform capable of processing AI vision workloads, integrating multiple PoE cameras, and supporting wireless communication across distributed parking facilities.
Explore how Premio’s NVIDIA Jetson industrial edge AI computer provided a rugged computing foundation with the processing capabilities and connectivity needed to support its intelligent parking solution.
Challenges
- Need for NVIDIA Jetson processing capabilities to support real time AI vision analytics
- Limited PoE connectivity for integrating and powering multiple IP cameras
- Insufficient wireless connectivity options across distributed parking facilities
- Need for compact, rugged computing hardware suitable for mounting within parking infrastructure
- Difficulty sourcing industrial NVIDIA Jetson hardware from a U.S. manufacturer with local technical support
Solution
- Premio’s Mid-Range NVIDIA Jetson Orin Edge AI Computer (JCO-3000-ORN Series)
- NVIDIA Jetson Orin Nano 8GB module with 512GB SSD storage
- Integrated 4x PoE+ connectivity for IP camera integration
- LTE and Wi-Fi capabilities for flexible network communication
- Rugged fanless construction with compact mounting options and U.S. based hardware support
Benefits
- Responsive local AI vision processing
- Simplified camera and network integration
- Scalable deployment foundation with domestic support
Company Overview
A U.S. based smart parking technology provider specializes in computer vision and artificial intelligence solutions that transform traditional parking environments into intelligent, data driven facilities. Its technology enables real-time parking occupancy monitoring, automated compliance verification, directed enforcement, and actionable analytics for municipalities, commercial properties, and parking operators. As the demand for intelligent parking management continues growing, the company is developing a scalable infrastructure strategy to support broader deployments across diverse parking locations.
The Challenges
Supporting Real Time AI Vision Processing at the Edge
Modern smart parking systems depend on continuous camera data to identify vehicle occupancy, detect parking violations, and generate actionable information for facility operators. Sending video streams to centralized processing environments can increase network bandwidth requirements and introduce delays in applications that benefit from immediate analysis. The company needed a capable NVIDIA Jetson computing platform that could process vision AI workloads locally while maintaining compatibility with its existing JetPack software development expertise.
Simplifying PoE Camera Integration
Intelligent parking systems rely on strategically positioned IP cameras to monitor parking spaces, entrances, and vehicle activity throughout a facility. Deploying separate networking and power equipment for these cameras can increase installation complexity, especially when computing hardware must be positioned near multiple camera connections. The company required integrated Power over Ethernet connectivity to consolidate camera connections and support a more streamlined edge computing architecture.
Enabling Reliable Wireless Connectivity Across Parking Sites
Parking facilities vary significantly in their existing networking infrastructure, making connectivity an important consideration when deploying intelligent monitoring systems across multiple locations. While some parking environments offer accessible local Wi-Fi networks, others may require cellular communications to connect edge devices with remote applications and management platforms. The company needed a computing platform supporting both LTE and Wi-Fi to accommodate different networking conditions without redesigning the hardware architecture for each installation.
Accommodating Rugged Parking Environments and Mounting Requirements
Parking garages and equipment locations can experience fluctuating temperatures, vibration, and dust exposure that make conventional computing hardware less suitable for continuous operation. For smart city infrastructure, computing equipment must balance processing performance with durability and flexible installation requirements. The company sought an industrial grade system with a compact fanless enclosure that could be securely mounted inside suitable protective cabinets near parking cameras.
Establishing a Reliable U.S. Hardware Supply Relationship
The company already possessed experience developing applications with NVIDIA Jetson hardware and was prepared to move forward with an industrial computing platform. However, sourcing dependable hardware with accessible local support and predictable product availability remained an important requirement for its planned deployments. Working with a U.S. based industrial computer manufacturer offered an opportunity to simplify technical communication, coordinate procurement, and establish a hardware relationship for future expansion.
The Solution
Premio’s Mid-Range NVIDIA Jetson Orin Edge AI Computer (JCO-3000-ORN Series)
The company selected the JCO-3000-ORN Series NVIDIA Jetson edge AI computer as the foundation for its camera connected smart parking architecture. Configured with an NVIDIA Jetson Orin Nano 8GB module and a 512GB SSD, the system provides local processing and storage resources to support AI vision analytics near parking cameras. Its NVIDIA Jetson architecture also aligns with the company's existing JetPack development experience, creating a familiar environment for integrating and evaluating its proprietary parking intelligence software.
Integrated PoE+ Connectivity for IP Cameras
Four PoE+ ports for streamlined camera integration
The JCO-3000-ORN Series supports a four port PoE+ configuration designed to deliver power and network connectivity to compatible IP cameras. In parking environments requiring multiple visual monitoring points, this consolidated architecture can reduce the need for separate PoE switches and simplify camera wiring near the edge computing system. By connecting cameras directly to a localized AI processing platform, the company can build a more integrated infrastructure for parking occupancy monitoring and automated compliance applications.
LTE and Wi-Fi Connectivity for Distributed Deployments
Wireless communication options for flexible parking infrastructure
The JCO-3000-ORN Series supports cellular and wireless connectivity through its M.2 B-Key and E-Key expansion slots, enabling integration of optional LTE cellular modules and Wi-Fi connectivity. This expansion flexibility allows system integrators to configure a consistent edge AI computing platform for distributed smart parking deployments across different networking environments.
Rugged Fanless Design with Flexible Mounting
Industrial-grade construction for installation near parking assets
Designed around the principles of rugged fanless industrial computers, the JCO-3000-ORN Series combines a durable aluminum enclosure, wide operating temperature support, and shock and vibration resistance. Its compact 192 x 140 x 58 mm footprint (1.56L) makes it an ideal fit for space-constrained equipment cabinets, enabling installation near parking cameras and networking infrastructure without occupying excessive cabinet space. Wall-mounting support further simplifies integration into smart parking deployments.
Local Engineering Support and Procurement Coordination
U.S.-based expertise supporting integration and future scalability
The smart parking provider prioritized a U.S.-based hardware partner capable of providing hands-on engineering support, technical consultation, and streamlined procurement. With operations in Illinois and California, Premio worked closely with the customer to evaluate NVIDIA Jetson configurations, provide product demonstrations, and address hardware integration requirements. This local partnership ensures accessible engineering expertise, reliable procurement coordination, and ongoing technical support as the company scales its smart parking deployments.
The Benefits
Responsive Edge AI Processing
By using NVIDIA Jetson computing resources near connected IP cameras, the smart parking platform can process vision AI workloads locally rather than relying entirely on centralized computing infrastructure. This architecture supports timely parking occupancy analysis, compliance monitoring, and other intelligent parking applications.
Simplified Camera and Network Integration
Four PoE+ ports consolidate camera power and data connectivity within the edge computing platform, while LTE and Wi-Fi provide flexibility for communicating across different facility networks. These integrated features can help reduce additional hardware requirements and simplify planning for distributed installations.
Scalable Hardware Foundation with Local Engineering Support
The JCO-3000-ORN Series provides a consistent hardware foundation for expanding smart parking deployments. Backed by Premio’s U.S.-based engineering expertise, hands-on technical support, and procurement coordination, the company can streamline hardware integration, maintain deployment consistency, and scale its smart parking solutions across multiple locations.
Conclusion
As intelligent parking technologies continue transforming traditional facilities, localized AI processing and reliable camera connectivity are becoming increasingly important for modern parking management. The JCO-3000-ORN Series offers a promising industrial edge computing foundation combining NVIDIA Jetson Orin processing, integrated PoE+ connectivity, wireless communication, and rugged fanless construction. With a U.S. based hardware relationship supporting the ongoing engagement, the smart parking provider can continue developing its architecture for more connected and scalable parking operations.
jco-3000-orn