Integrated with NVIDIA Jetson Thor, NVIDIA Jetson Orin, next-generation in-vehicle AI and ecosystem collaborations bring real-time intelligence to agriculture, factories, mobility and urban infrastructure
Aetina Corporation, a leading edge AI solution provider and accelerator of edge AI infrastructure, announced its participation in Smart City Expo World Congress (SCEWC) 2026, taking place November 3–5, at Fira Barcelona Gran Via. At Hall 3, Booth C162, Aetina will showcase NVIDIA-powered edge AI platforms and partner solutions spanning intelligent agriculture, autonomous factories, smart mobility, and smart cities and spaces.
From Farm to City: Edge AI Across the Urban Value Chain
Intelligent Agriculture :
Aetina’s 2026 showcase follows a connected “farm-to-city” story, demonstrating how edge AI supports the journey from cultivation and harvest to factory processing, transportation, and urban infrastructure. In intelligent agriculture, Aetina plans to showcase intelligent agriculture solutions powered by Comiers, Optoscale, Nature Robots, and Farm-ING, together with ecosystem partners such as Innodisk, Steliau Technology, and Arcobel Embedded. Powered by Aetina’s NVIDIA Jetson lineup, from NVIDIA Jetson T5000 and T4000 modules in the NVIDIA Jetson Thor family to NVIDIA Jetson AGX Orin 64GB and NVIDIA Jetson Orin NX 8GB, the solutions support seeding, watering, fertilizing, crop health monitoring, and harvest optimization. By running perception and generative AI inference directly in the field, growers act on real-time
insights without relying on the cloud.
Autonomous Factory :
Next, the harvest moves to a juice factory, where two live demos show edge AI at work. Outside, truckmounted cameras feed Aetina’s rugged AIE-VX28/18-IP, powered by NVIDIA Jetson AGX Orin and running NVIDIA DeepStream on NVIDIA CUDA, which processes eight concurrent camera streams in real time. It enhances loading-dock safety by detecting the worker closest to the truck, a method that also applies to forklifts, excavators, and other off-highway vehicles. With JetPack 7.2 enabling the NVIDIA Jetson AGX Orin 32GB Super Mode, AI performance increases from 200 to 241 TOPS, providing extra capacity for more complex vision pipelines without needing to switch to a higher-cost module.
Inside, the MegaEdge AIP-FR68S paired with an NVIDIA GPU detects and grades tangerines in real time, replacing slow, inconsistent manual inspection with AI quality assessment for sorting, picking, processing, and packaging.
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Smart Cities & Spaces:
The final stop follows delivery trucks from factory to store. Aetina’s AI Adaptive Street Lighting Solution, powered by CoreEdge MXM modules featuring the NVIDIA RTX PRO 500 Blackwell Embedded GPU, turns street-camera feeds into real-time traffic intelligence and adjusts illumination to actual road conditions reducing energy consumption while maintaining roadway safety. When cameras are unavailable, radar or LiDAR can serve as inputs, helping municipalities move from fixed infrastructure to adaptive, ESGaligned streets.
NVIDIA Jetson: Built-In Memory, Optimized AI at the Edge
Aetina will place special focus on the NVIDIA Jetson platform as developers face increasing pressure to deploy larger AI models within tighter size, power and cost constraints. Jetson integrates validated DRAM directly on-module, reducing external memory sourcing, qualification and system-design complexity. Combined with NVIDIA’s optimized software stack, Jetson enables higher inference throughput with a smaller memory footprint for modern edge AI workloads.
Aetina enhances its advantage by integrating NVIDIA JetPack 7.2 into its edge AI systems powered by NVIDIA Jetson Thor, JetPack 7.2 brings NVIDIA Jetson Thor and Jetson Orin onto a unified software foundation based on Ubuntu 24.04, Linux kernel 6.8, and the CUDA 13 software stack. It also introduces NVIDIA Jetson agent skills that audit and reclaim memory held by bootloader carveouts, kernel reservations, and unused services. With support for NVIDIA NemoClaw and optimized deployment of open models such as NVIDIA Nemotron 3 Nano Omni, NVIDIA Cosmos, and NVIDIA Isaac GR00T, developers can simplify system development, improve memory efficiency, and accelerate AI deployment at the edge.
Rugged In-Vehicle Edge AI, from Palm-Sized to IP66
For intelligent transportation, Aetina will showcase its newly launched DeviceEdge AIE-VN34/44 and AIEVO24/34, the company’s first palm-sized in-vehicle edge AI systems. Powered by NVIDIA Jetson Orin NX and NVIDIA Jetson Orin Nano with Super Mode, the systems deliver up to 100 TOPS and support up to four GMSL2 cameras for real-time multi-camera perception in vehicles, AMRs and industrial equipment. Aetina will also preview the rugged AIE-VX28/18-IP, an IP66-rated, fanless in-vehicle system powered by NVIDIA Jetson AGX Orin. With support for eight GMSL2 cameras and four M12 PoE cameras inputs, 10GbE connectivity, and E-Mark (E24) certification, the platform is designed for logistics fleets, intelligent transportation systems and other demanding outdoor mobility deployments.
“Cities succeed with edge AI when compute is rugged, memory-efficient, and ready to scale from pilot to fleet,” said Richard Hung, Vice President of Product Division at Aetina. “By integrating NVIDIA JetPack 7.2 across our NVIDIA Jetson Thor and Jetson AGX Orin-based platforms and pairing it with our newest invehicle systems, we give system integrators and municipalities a faster, lower-risk path to deploy AI across agriculture, industry, and urban mobility.”
Visit Aetina at Smart City Expo World Congress 2026 in Barcelona. Aetina cordially invites visitors to Hall 3, Booth C162 on November 3–5, 2026. For more information on Aetina’s edge AI computing portfolio.