Vision controllers Hikrobot

Vision panel PCs and controllers: a ready platform to run smart cameras and vision algorithms without a server room.

ModelNetworkExpansion interfacesPowerOS
VT2000Vision panel PCGigE ×4—30 WWindows 10 2021H2 (unactivated)
MV-VT2000-128G40-NNVision panel PCGigE ×4—30 WWindows 10 2021H2 (unactivated)
MV-VACAi inference vision controllerGigE ×6 + GigE ×3 + GigE ×4slot PCIe x16, slot PCIe x8
MV-VAC3504H-128G01, MV-VAC3704X-128G01, …CollapseMV-VAC3504H-128G01, MV-VAC3704X-128G01, MV-VAC3704H-128G01, MV-VAC3504X-128G01: 150 W (typical); MV-VAC5524-256G02, MV-VAC5724-256G02: 314 W (typical) @ connector pins 4, power circuit system power; 232 W (typical) @ connector pins 2, including auxiliary PCIe power, power circuit auxiliary PCIe card power
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MV-VC2000Vision controllerGigE ×4—
MV-VC2140-128G40-1T, …CollapseMV-VC2140-128G40-1T, MV-VC2140-128G40-NN: 51 W (typical) @ excluding light output; MV-VC2143-128G40-NN, MV-VC2143-128G40-1T: 71 W (typical) @ excluding light output
Windows 10 LTSC 21H2 (64-bit, unactivated)
MV-VC3000HVision controllerGigE ×6 + GigE ×2 + GigE ×4slot PCIe 3.0 x16195–144 W1Windows 10 (64-bit, unactivated)1
MV-VC3000XVision controllerGigE ×2 + GigE ×4 + GigE ×6—144 WWindows 10 (unactivated)
MV-VC531xVision controllerGigE ×3 + GigE ×4SATA 3 ×2
MV-VC5314-256G70-NN, …CollapseMV-VC5314-256G70-NN, MV-VC5315-256G70-2T, MV-VC5315-256G70-NN, MV-VC5314-256G70-2T: 264 W (typical); MV-VC5313-256G70-2T: 264 W (typical) @ connector pins 4
Windows 10 (unactivated)
MV-VC532xVision controllerGigE ×3 + GigE ×4
MV-VC5323-256G70-2T, …CollapseMV-VC5323-256G70-2T, MV-VC5324-256G70-NN, MV-VC5325-256G70-2T, MV-VC5325-256G70-NN, MV-VC5324-256G70-2T: SATA 3 ×2, M.2 NVMe, PCIe x16, PCIe x8, PCIe x4 ×2; MV-VC5323-256G70-2T, MV-VC5324-256G70-NN, MV-VC5325-256G70-2T, MV-VC5325-256G70-NN, MV-VC5324-256G70-2T: slot PCIe x16, slot PCIe x8, slot PCIe x4 ×2
384 W (typical) @ connector pins 4, …Collapse384 W (typical) @ connector pins 4, power circuit system power; 228 W (typical) @ connector pins 2, power circuit graphics card power
Windows 10 (unactivated)
MV-VC551xVision controllerGigE ×3 + GigE ×4SATA 3 ×2264 WWindows 10 (unactivated)
MV-VC552xVision controllerGigE ×3 + GigE ×4
MV-VC5525-256G70-NN, …CollapseMV-VC5525-256G70-NN, MV-VC5524-256G70-2T, MV-VC5523-256G70-NN, MV-VC5525-256G70-2T, MV-VC5523-256G70-2T: SATA 3 ×2, M.2 NVMe, PCIe x16, PCIe x8, PCIe x4 ×2; MV-VC5525-256G70-NN, MV-VC5524-256G70-2T, MV-VC5523-256G70-NN, MV-VC5525-256G70-2T, MV-VC5523-256G70-2T: slot PCIe x16, slot PCIe x8, slot PCIe x4 ×2
384 W (typical) @ connector pins 4, …Collapse384 W (typical) @ connector pins 4, power circuit system power; 228 W (typical) @ connector pins 2, power circuit graphics card power
Windows 10 (unactivated)
MV-VC571xVision controllerGigE ×3 + GigE ×4SATA 3 ×2264 WWindows 10 (unactivated)
MV-VC572xVision controllerGigE ×3 + GigE ×4SATA 3 ×2, M.2 NVMe
384 W (typical) @ connector pins 4, …Collapse384 W (typical) @ connector pins 4, power circuit system power; 228 W (typical) @ connector pins 2, power circuit graphics card power
Windows 10 (unactivated)
MV-VT3000Vision panel PCGigE ×4—120 WWindows 10 (unactivated)

Choose the control-platform class first

This category contains vision panel PCs and vision controllers for running smart cameras and vision algorithms without a server room. It is divided by product role rather than by a shared peripheral type. The panel-PC branch consists of Hikrobot VT2000, Hikrobot MV-VT2000-128G40-NN and Hikrobot MV-VT3000. The controller branch contains MV-VAC and the MV-VC families.

Start by deciding which stated platform class the installation calls for. Select from the VT models when the required class is a vision panel PC. Use the VC branch when the required class is a vision controller. MV-VAC is identified more specifically as an AI inference vision controller, making inference the distinguishing task label for that product within the overall control-platform category.

The VC range is organised into MV-VC2000, MV-VC3000H and MV-VC3000X, followed by paired x-designated families: MV-VC531x and MV-VC532x, MV-VC551x and MV-VC552x, then MV-VC571x and MV-VC572x. The VT side contains the VT2000 designation, the full MV-VT2000-128G40-NN variant and MV-VT3000. Keeping these names grouped by VC, VT and VAC makes the initial role decision explicit.

Treat the exact designation as part of the choice. MV-VC3000H and MV-VC3000X are separate controller entries, just as MV-VC531x and MV-VC532x are separate families. On the panel-PC side, Hikrobot VT2000 and Hikrobot MV-VT2000-128G40-NN are also distinct entries. First establish panel PC, general vision controller or AI inference vision controller, then retain the complete model name for the selected branch.

FAQ

Which products are classified as vision panel PCs?

The panel-PC entries are Hikrobot VT2000, Hikrobot MV-VT2000-128G40-NN and Hikrobot MV-VT3000. They form the VT side of a category whose other products are identified as vision controllers or an AI inference vision controller.

Which controller is specifically identified for AI inference?

Hikrobot MV-VAC is labelled as an AI inference vision controller. That task label distinguishes it from the MV-VC entries, which are described as vision controllers, and from the VT products, which are vision panel PCs.

How is the x-designated VC family sequence arranged?

The sequence contains MV-VC531x, MV-VC532x, MV-VC551x, MV-VC552x, MV-VC571x and MV-VC572x. Each is a separately listed vision-controller family, so the final digit and x remain part of the designation.

What is the first decision when choosing from this category?

Choose the required product class: vision panel PC, vision controller or AI inference vision controller. The VT entries represent panel PCs, the VC entries represent vision controllers, and MV-VAC carries the AI inference description.

Which named controllers sit outside the paired x families?

MV-VC2000, MV-VC3000H and MV-VC3000X are individually named vision controllers before the paired x-designated groups. MV-VAC is another controller entry, but its stated class is AI inference vision controller.

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