Edge AI computer NRU-51V+ Series
GPUembeddedwall-mounted

Edge AI computer
Edge AI computer
Edge AI computer
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Characteristics

Type
Edge AI, GPU
Configuration
embedded, wall-mounted, vehicle-mount
Processor
NVIDIA® Jetson Xavier™ NX, NVIDIA® Jetson AGX Orin™
Ports
Ethernet, DisplayPort, Mini PCIe, LPDDR5, CAN bus, USB 3.1, RS-232, USB 2.0, gigabit Ethernet, micro USB, WiFi, RS-485, 4G, GPS, RS-422, LPDDR4
Domain
automation, for robotic applications, for automotive applications, telecommunication
Protection level
IP67, rugged, waterproof

Description

NRU-51V+ is a rugged Jetson Orin™ NX or Xavier™ NX computer supporting GMSL2 cameras that can act either as a sensor hub or a perception unit for ADAS, teleoperation, autonomous mobile robots, and autonomous vehicles. By supporting GMSL2 automotive cameras, the NRU-51V+ gains enhanced vision capabilities, including advanced features such as high dynamic range (120dB HDR), auto white balance (AWB), and LED flicker mitigation (LFM). Additionally, the IP67 waterproof capability of GMSL2 automotive cameras makes deployment much more flexible for outdoor applications. NRU-51V+ can obtain high-quality images with minimal latency regardless of lighting conditions, from bright sunny days to pitch-black nights. Moreover, it has a unique synchronization mechanism capable of acquiring images from four GMSL2 cameras simultaneously within microseconds channel-to-channel skew. It can further accept GPS PPS signal to align image data with LIDAR or synchronize cameras on other systems. Thanks to the great power efficiency of NVIDIA® Jetson Orin NX™ NX SOM, NRU-51V+ delivers 100 TOPS inference performance in its 25W power package. Users can transfer raw camera images through its built-in 10GBASE-T Ethernet to another GPU server for perception processing, but also leverage its significant TOPS for real-time object or ROI detection. For teleoperation applications, users can utilize its hardware H.264/265 video codec, to encode video streams from four GMSL2 cameras in real-time and transmit the live video feed to a driver at a remote location via 5G telecommunication with minimum latency.

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