i.MX / R-Car
近年來在AI效能、物聯網設備的採用以及邊緣計算的性能方面提升,激發了邊緣AI的強大功能。邊緣AI是AI應用程式在整個現實世界的設備中的部署。之所以稱其為「邊緣AI」,是因為該AI計算是在位於網絡邊緣的使用者附近完成的,靠近數據所在的位置,而不是集中在雲計算設施或私人數據中心之中
CPU/Memory |
OctaCoreArmCortex-A551.2GHz Dual Core G4MH 400MHz ARM Cortex-M0 MCU 4GB LPDDR4 64GB eMMC |
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Operating Temperature | - 40°C ~ 85°C |
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Humidity | 5% - 95% Non-condensing |
Storage | eMMC UFS |
64G onboard 128G NAND Flash |
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Interface | Ethernet CAN-FD LIN SENT FlexRay |
8 x 100/1000BASE-T1 2 x 2.5GBASE-T1 1x 100BASE-T1 1x 100BASE-TX 2x 10BASE-T1S 16x CAN Bus 8x LIN Bus 2x SENT 1x FlexRay |
PCIe | X1 lane | |
LTE/5G | M.2 Module SIM |
Support USB 3.1/PCIE G3 Interface 5G/LTE Module Dual SIM with eSIM on board, Dual SIM Single Active (DSSA)1 x on board Micro SIM holder |
GNSS | GNSS Receiver | Support untethered dead reckoning/automotive dead reckoning |
LED Display | LED | 4 x Dual color LED (G/R) for User definition |
Others | SENSOR DIP Switch |
1 x 3D Accelerometer & 3D Gyroscope on board 1 x 4 Pin Dip Switch for User definition |
Power | DC Power Input RTC |
3 Pin Terminal Block 9-36V DC Power input 1 x CR2450 battery for real time clock |
Linux/QNX | R-Car SDK 3.6.0 |
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