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Meraki organises Edge AI: Building Scalable Computer Vision event

26 Apr 2022

Meraki organises Edge AI: Building Scalable Computer Vision event
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Contact Cisco Meraki
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Related Links
  • Cogniac Corporation and Cisco Meraki partner to automate operations with AI-powered computer vision applications
  • Cisco Meraki helps organisations to take smart spaces to the next level
  • Cisco Meraki explains how workplace automation is changing the future of work

Cisco Meraki introduced a new way to bring additional intelligence to the Meraki portfolio of smart cameras. It launched MV Sense custom CV that allows its partners and customers to build their Machine Learning (ML) model to run directly on their cameras.

This opens endless possibilities to solve new customer problems, as MV cameras can also be used to detect virtually any type of object.

A variety of use cases

As a result of this, there has been a myriad of new and exciting use cases for video analytics coming from both partners, customers, and internal colleagues. These include counting food items at packing lines, detecting proper use of protective gear, and identifying quality defects in production lines or space in logistics centres.

Camera analytics can also provide organisations with information about their environment so they can create smart spaces to automate and improve productivity. Cisco Meraki is very excited about the interest and is working with several partners to start exploring the business value that can be generated. 

Meraki building blocks

There are a few core building blocks that have enabled this evolution: 

  • The Meraki way of building secure cloud-managed solutions that are simple to use is a fundamental enabler.
  • With the cloud-based smart camera solution, it can deploy and configure MV cameras at scale.
  • MV smart camera hardware was designed from the start to work as a powerful stand-alone device. 
  • The Meraki platform enables users to leverage their computer vision models on MV smart cameras via open APIs, or use off-the-shelf applications from ecosystem partners.
  • The Meraki cloud architecture eliminates the complexity of deploying, maintaining, and scaling analytics solutions, thereby reducing barriers to implementation and speeding up time-to-value.

A recipe for AI at the edge 

Meraki has an effective recipe to execute AI at the edge. The combination of a cloud-managed solution with edge-based processing is making operations for their partners and customers easier as they enjoy the benefits of advanced computer vision technologies.

Meraki is happy to share more details about how the solution is built, experiences getting there, and how the partners are contributing to customer solutions. Register for the virtual event on May 11, 2022, at 9:00 am PT, “Edge AI Tech Talk: Computer Vision in Practice” to learn more. 

Learn why leading casinos are upgrading to smarter, faster, and more compliant systems

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