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Cisco Meraki MV22 Dome IP security camera Indoor 1920 x 1080 pixels Ceiling

Cisco Meraki MV22 Dome IP security camera Indoor 1920 x 1080 pixels Ceiling

by Cisco

£839.90

Cisco Meraki MV22 IP security camera Indoor Wired Internal 4.4 dBi Ceiling

GTIN00810979015895
EAN0810979015895
MPNMV22-HW
Prices updated 26 Jun 2026

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Product Description

The MV Smart Camera family brings powerful advanced analytics to the typical security camera world. With a powerful processor the same kind found on many of todays smartphonesand anN/Ainnovative architecture which minimizes physical infrastructure as well as software requirements these smart cameras from Cisco Meraki represent a shift from cameras simply ensuring physical safety and security to providing powerful business intelligence as well.N/AN/A<b>MV: BEYOND JUST SECURITY</b>N/AMV cameras feature an innovative architecture which places high-endurance storage locally on the camera and removes the network video recorder (NVR) from the equation. Not only does this drastically simplify both installation and scaling but it also eliminates a major network security vulnerability in the IT infrastructure.N/AN/AFeatures like LLDP insights offline device alerting and built-in remote troubleshooting tools reduce time to resolution and free up personnel to make IT improvements providing added business value. And because MV is managed through the browser-based Meraki dashboard and operates using a licensing model theres no need to purchase download and maintain any additional software. Management through the Meraki dashboard ensures firmware updates will continually roll out over the lifespan of the product meaning its value will only increase over time.N/AN/AFeaturing an industry-leading processor these cameras are not only capable of providing high definition (1080p) video but they also allow for on-board analytics capabilities that previously required additional software and heavy-duty hardware.N/AHarnessing the power of computer vision and machine learning this camera line can dynamically classify people as objects within a frame. This simple-seeming insight builds the foundation for more effective and efficient processes like people counting. And the best part is that they will only get smarter and more accurate over time.

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