increasingly complex, cities worldwide face the pressure to modernize their traffic and parking systems. Rising vehicle volumes, limited infrastructure, and the growing demand for automation necessitate intelligent solutions that enhance safety, efficiency, and sustainability. AI-powered surveillance and edge computing have emerged as key enablers of smart city transformation, offering real-time data processing, predictive analytics, and reduced human intervention. Addressing these challenges, Portwell and ioNetworks are showcasing their collaborative innovations at COMPUTEX 2025, redefining how municipalities manage traffic flow and optimize parking resources through scalable, AI-integrated systems.
Portwell and ioNetworks have partnered to deliver a turnkey AI solution addressing the dual challenges of traffic management and smart parking. This collaboration combines Portwell’s rugged embedded computing platforms with ioNetworks’ AI-based video analytics to offer a real-time, high-performance solution. The joint platform can detect traffic violations, recognize license plates instantly, and monitor parking space availability—all without manual oversight. The result is a comprehensive solution that enhances urban safety, reduces manpower costs, and streamlines municipal operations with edge-to-cloud intelligence.
For the system build, ioNetworks provides advanced AI video analytics software specifically designed for traffic and parking environments. Key features include real-time license plate recognition, automatic detection of traffic violations (such as speeding and illegal turns), and dynamic parking space status updates. Built with deep learning and computer vision, the system enables 24/7 surveillance and decision-making, ensuring high accuracy and rapid response. The technology supports flexible deployment in diverse urban settings and is scalable across multiple sites, helping public sector operators achieve smarter, data-driven mobility management.
Portwell enhances the joint solution with its robust edge computing platforms, including the PJAI-100 and WEBS-89I0 systems. The PJAI-100, equipped with an NVIDIA® Jetson Orin™ NX module, delivers up to 100 TOPS of AI performance in a compact, fanless form factor—ideal for outdoor and space-constrained deployments. The WEBS-89I0 system features an energy-efficient Intel® Celeron® J6412 SoC, wide temperature support (-20°C to 60°C), and an optional Hailo-8R AI acceleration module. Both platforms ensure seamless integration with ioNetworks software, offering superior data processing at the edge for real-time insights, facilitating operational continuity.
The synergy between ioNetworks’ intelligent analytics software and Portwell’s industrial-grade computing hardware creates a dynamic ecosystem for smart city applications. In traffic management, the system detects violations and captures license plates instantly, supporting law enforcement and enhancing road safety. For parking, it automates vehicle access control and informs drivers of available spots, improving both user convenience and facility efficiency. These solutions are already shaping next-generation deployments in government, transportation hubs, and private infrastructure sectors—reducing congestion, lowering operational costs, and elevating the quality of urban life.
Portwell and ioNetworks’ joint showcase at COMPUTEX 2025 marked a significant step toward advancing Industry 4.0 in smart city infrastructure. Their collaborative solution underscores a shared commitment to innovation, robust system integration, and scalable deployment across vertical markets. By combining AI intelligence with edge computing performance, the partnership empowers urban planners and facility operators with tools that redefine mobility management—fostering safer, smarter, and more connected cities for the “AI Next” infrastructure.
To provide the best experiences, we and our partners use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us and our partners to process personal data such as browsing behavior or unique IDs on this site and show (non-) personalized ads. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Click below to consent to the above or make granular choices. Your choices will be applied to this site only. You can change your settings at any time, including withdrawing your consent, by using the toggles on the Cookie Policy, or by clicking on the manage consent button at the bottom of the screen.