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![VisionSOM-6ULL - moduł z procesorem i.MX6 ULL i pamięcią NAND 512 MB VisionSOM-6ULL - moduł z procesorem i.MX6 ULL i pamięcią NAND 512 MB](https://kamami.pl/30367-large_default/pmodul-serii-visionsom-z-procesorem-nxp-imx6-ullnbspy2-792mhz-rdzen-cortex-a7-pamiec-ram-512-mb-pamiec-nand-512-mb-wbudowany-mod.jpg)
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VisionSOM-6ULL is comprised of a small processor module with CPU bus accessibility and standard I/O functionality and is an ideal solution for embedded projects.
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VisionSOM-6ULL is comprised of a small processor module with CPU bus accessibility and standard I/O functionality and is an ideal solution for embedded projects.
VisionSOM-6ULL can often 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).
VisionSOM-6ULL requires a matching customer’s board or a carrier board to establish a complete system. Carrier Board together with VisionSOM-ULL is ready to use computer on board and is giving enormous flexibility in building projects.
Data sheet
Rod antenna 2.4G, gain 5dBi, connector type: IPEX/U.FL, RoHS
DDR2 SODIMM connector 200 pins; rated voltage: 1.8 V, height: 5.2 mm. For VisionSOM modules. TE Connectivity 1473005-4
An evaluation kit VisionSTK-NAND contains: VisionSOM-6ULL board (variant with NAND 512 MB memory and WiFi/BT module) and VISIONCB-STD evaluation board.
No product available!
VisionCB-6ULL-STD is a base plate for the VisionSOM-6UL (i.MX6 UL) and VisionSOM-6ULL (i.MX6 ULL) modules. The tile contains, among others Ethernet, USB connectors, connectors compatible with Arduino shields and Raspberry Pi hat, 5 buttons and 5 LEDs. VisionCB-6ULL-STD, SoMLabs
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SLS18MP157A_650C_512R_uSD_0SF_C
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VisionSOM-8Mmini series module with NXP i.MX 8M mini processor (4x Cortex-A53 core @1.6GHz + 1x Cortex-M4 core @400MHz). It has 2GB LPDDR4 RAM, 8GB eMMC, built-in WiFi and Bluetooth wireless connectivity. SoMLabs SLS23X8MMQC_1600C_02GR_08GE_1WB_E
No product available!
VisionSOM-8Mmini series module with NXP i.MX 8M mini processor (4x Cortex-A53 core @1.6GHz + 1x Cortex-M4 core @400MHz). It has 1GB of LPDDR4 RAM, 8GB of eMMC, built-in WiFi and Bluetooth wireless connectivity. SoMLabs SLS23X8MMQC_1600C_01GR_08GE_1WB_E
No product available!
StarSOM series module with NXP i.MX6 ULL Y2 792MHz processor (Cortex-A7 core), 512 MB RAM and 4 GB eMMC memory. It has a built-in Ethernet wired communication module. SomLabs SLS06Y2_792C_512R_04GE_2ET_I
SpaceSOM series module with NXP i.MX8M plus 1.6 GHz processor (4 Cortex-A53 + Cortex-M7 cores), 1 GB RAM and 8 GB eMMC memory. SomLabs SLS35X8MPQC_1600C_01GR_08GE_0SF_I
VisionSOM-6ULL is comprised of a small processor module with CPU bus accessibility and standard I/O functionality and is an ideal solution for embedded projects.
VisionSOM series module with STM32MP153C processor (2 Cortex-A7 + Cortex-M4 cores), 512 MB RAM and 8 GB eMMC memory. It has built-in WiFi and Bluetooth wireless communication. SoMLabs SLS18MP153C_650C_512R_04GE_1WB_C
No product available!
Module from the VisionSOM series with NXP i.MX RT1052 microcontroller (Cortex-M7 core), 528MHz, QSPI 16MB memory, 32MB SDRAM memory, -40 .. + 85 ° C.
SLS12RT52_528C_32R_16QSPI_0SF_I
VisionSOM-6ULL is comprised of a small processor module with CPU bus accessibility and standard I/O functionality and is an ideal solution for embedded projects.
Module from the VisionSOM series with NXP i.MX RT1052 microcontroller (Cortex-M7 core), 528MHz, QSPI 4MB memory, -40 ... + 85 ° C.
SLS12RT52_528C_0R_4QSPI_0SF_I
StarSOM series module with NXP i.MX6 ULL Y2 792MHz processor (Cortex-A7 core), 512 MB RAM memory and 4 GB eMMC memory. SomLabs SLS06Y2_792C_512R_04GE_2ET_C
StarSOM series module with NXP i.MX6 ULL Y2 792MHz processor (Cortex-A7 core), 512 MB RAM and 4 GB eMMC memory. SomLabs SLS06Y2_792C_512R_04GE_0SF_I
VisionSOM-6ULL is comprised of a small processor module with CPU bus accessibility and standard I/O functionality and is an ideal solution for embedded projects.