Difference between revisions of "VisionSOM-V2L"
From SomLabs Wiki
(Created page with "{{Product|category1=SOM|category2=|image=VisionSOM-V2L.png |cpu=Renesas RZ/V2L (R9A07G054L27GBG) - dual-core ARM Cortex-A55 (at speed up to 1.2GHz), ARM Cortex-M33 core (at sp...") |
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}} {{DocBox|boxwidth=21|system=Howto | }} {{DocBox|boxwidth=21|system=Howto | ||
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'''Embedded Linux Developer Guide''' | '''Embedded Linux Developer Guide''' | ||
| − | * [[Writing | + | * [[Writing VisionSOM-V2L system image to eMMC memory|Writing system image to eMMC memory]] |
* [[Extending rootfs partition|Extending rootfs partition]] | * [[Extending rootfs partition|Extending rootfs partition]] | ||
}} {{DocBox|boxwidth=21|system=Yocto | }} {{DocBox|boxwidth=21|system=Yocto | ||
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* [[VisionSOM_imx-meta-somlabs-honister | iMX Yocto Honister meta-layer for SpaceSOM-8Mplus by SoMLabs]] | * [[VisionSOM_imx-meta-somlabs-honister | iMX Yocto Honister meta-layer for SpaceSOM-8Mplus by SoMLabs]] | ||
* [[VisionSOM_imx-meta-somlabs-hardknott | iMX Yocto Hardknott meta-layer for SpaceSOM-8Mplus by SoMLabs]] | * [[VisionSOM_imx-meta-somlabs-hardknott | iMX Yocto Hardknott meta-layer for SpaceSOM-8Mplus by SoMLabs]] | ||
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Revision as of 14:25, 29 August 2023
{{Product|category1=SOM|category2=|image=VisionSOM-V2L.png
|cpu=Renesas RZ/V2L (R9A07G054L27GBG) - dual-core ARM Cortex-A55 (at speed up to 1.2GHz), ARM Cortex-M33 core (at speed up to 200MHz) and DRP-AI (AI+ML) coprocessor
|ram=1GB DDR4
|gfx= 3D ARM Mali-G31
|storage=up to 32GB eMMC
|camera=MIPI-CSI – 4 lane interface
|display=MIPI-DSI
|can=up to 2 channels CAN-FD
|i2c=up to 4 channels
|spi=up to 3 channels
|net=dual-band 2.4/5GHz (802.11a/b/g/n/ac), Bluetooth BLE
2 x Ethernet 10/100/1000 (MAC only)
|bluetooth=Bluetooth: BLE v5.1
|temp= -25 to +70°C (with WiFi/BLE module),
-40 to +85°C
|usb=2 x USB 2.0
|audio=up to 4xSAI
1xSRC
|uart=up to 5 channels
|dim=67mm x 32mm x 4.1mm
SODIMM200 module
|description=SpaceSOM-8Mplus is comprised of a small and energy efficient processor module with CPU interfaces accessibility, Machine-Learning + Artificial Intelligence NPU coprocessor and standard I/O functionality. It is an ideal solution for modern IoT embedded projects and intelligent edge devices.
SpaceSOM-8Mplus can trim 8-12 months from design cycle and can be easy adapted to existing projects or can be used together with a dedicated carrier board. Customers who are looking for a complete solution can use a set comprised of System on Module (SoM) and Carrier Board (CB).
SpaceSOM-8Mplus requires a matching customer’s board or a carrier board to establish a complete system. Carrier Board together with SpaceSOM-8Mplus is a ready to use computer on board and is giving enormous flexibility in building projects.
|documentation=
