Aetina launches palm-sized in-vehicle Edge AI systems – DeviceEdge AIE-VN34/44 and AIE-VO24/34 – which combine performance to 100TOPS, four GMSL2 camera connections, and fanless operation in a 136.3 x 132 x 63 mm package. The systems are ideal for applications in transportation, autonomous mobile robots and industrial automation.
“As real-time, multi-camera perception becomes the sensing layer for AI agents operating in vehicles, AMRs, and industrial equipment, customers need edge compute that is rugged enough for the field and ready for mass production from day one, Aetina’s palm-sized in-vehicle edge AI systems bring four-camera GMSL2 support, automotive-grade certification, and NVIDIA Elite Partner-backed BSP support together in one rugged multi-vision platform, helping customers simplify integration and accelerate the deployment of intelligent vision at the edge,” said James Ho, Manager of Edge Computing Product Division at Aetina.
The DeviceEdge AIE-VN34/44 and AIE-VO24/34 are Aetina’s first palm-sized in-vehicle edge AI systems. They are powered by NVIDIA Jetson Orin NX (8GB/16GB) and NVIDIA Jetson Orin Nano with Super Mode (4GB/8GB). Each system has four GMSL2 (Fakra-Z) ports, for long-distance, low-latency multi-camera streaming, real-time AI inference, and 360-degree environmental perception for surround-view monitoring, blind-spot detection, and situational awareness.
The convergence of V2X and edge computing continues to drive demand for compact, rugged in-vehicle computing platforms that capable of processing multi-camera vision data locally and in real time. The AIE-VN34/44 and AIE-VO24/34 turn visual data into actionable intelligence for AI agents and autonomous systems, supporting surround-view monitoring and blind-spot detection for commercial vehicles, obstacle avoidance and path planning for AMRs, real-time defect inspection on production lines, and people tracking and security monitoring across smart retail and building environments.
