Intel® Core™ 8th Gen.CPU+NVIDIA GPU/Intel Movidius VPU Powerful Intelligent Platform for In-Vehicle Edge Computing
NEXCOM is ushering in the future of in-vehicle AI edge computing with the ATC 8010 AI edge in-vehicle computer. Leveraging an Intel® Core™ i7 processor, 8 ports PoE, NVIDIA® 1050Ti/1080 GPU, and Intel® Movidius™ MA2485 VPU, implementing an in-vehicle AI edge computer system is now quicker and less complex than ever before. Developed in collaboration with technology partners Intel® and NVIDIA®, system integrators can confidently harness advancements in AI edge computing to roll out new, more powerful systems with cutting edge features, in less time than ever. The ATC 8010 AI edge in-vehicle computer is specially designed for public security applications such as patrol cars with ANPR, facial recognition, and video surveillance.
|Inte® Core™ 8th Gen. i7-8700T, 2.4GHz, 6 Core
|NVIDIA® GTX 1050Ti/1080 MXM graphic module supported
|Intel® Myriad™ X MA2485 MXM VPU module supported
|Swappable smart fan kit
|Power over Ethernet
|8 x Independent I210-IT 10/100/1000 PoE 802.3af/at
|Built-in style backup batteries (by request)
|Video + audio output
|ultraONE+ for 10-Meter video + audio output
|2 x External SSD and 2 x mSATA for RAID 0, 1, 5, 10
|2 x WWAN module and 3 x SIM socket with eSIM option
|3 x mini-PCIe and 1 x M.2
Overcoming In-vehicle PC Constraints
Several constraints have hampered the capability of current systems to utilize edge computing technologies. Firstly, in-vehicle embedded systems use low-power, fanless designs, which on the one hand, increase reliability,. Secondly, video surveillance advances have already exhausted the capabilities of 1Gb PoE and need more bandwidth to achieve real-time video analysis. The NEXCOM ATC 8010 embraces both new standards and proprietary innovations to eliminate many of these issues with the adoption of fast 8th and 9th generation Intel® processors, higher speed 10Gb PoE (optional), heavy graphics capable GPUs, and a proprietary video cable connection for nearly-real-time AI edge computing capabilities.