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 today’s smartphones—and an innovative 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.
MV: BEYOND JUST SECURITY
MV 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.
Features 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, there’s 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.
Featuring 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. Harnessing 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.
Use the following links for additional information:
MV12WE data sheet: Click Here.
MV Sense data sheet: Click Here.