Cogniac, Cisco Meraki Bring Computer Vision to Smart Cameras

SAN JOSE, Calif., March 22, 2022 — Cogniac, a provider of enterprise-class AI and image and video analysis, partnered with Cisco Meraki to accelerate the delivery of AI-powered computer vision applications at the edge of the network. The partnership will help enterprise customers build smarter, more automated spaces without the need for new infrastructure.

Through the collaboration, the Cisco Meraki cloud-managed networking platform and Meraki MV smart cameras will integrate with the Cogniac AI-powered platform. This will allow businesses to quickly build and deploy powerful machine learning models that use video and image data to observe critical business events without requiring expert AI resources.

Meraki cloud-managed smart camera solutions enable organizations to leverage video intelligence to build customized experiences for safer environments and smarter spaces. Supported customers include those in warehouse and manufacturing environments, as well as retailers.

In October, Cogniac raised $20 million in a Series B financing round led by National Grid Partners.

There are 23 suppliers of Smart Cameras in the Photonics Marketplace.

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Published: March 2022

Glossary

machine vision: Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
computer vision: Computer vision enables computers to interpret and make decisions based on visual data, such as images and videos. It involves the development of algorithms, techniques, and systems that enable machines to gain an understanding of the visual world, similar to how humans perceive and interpret visual information. Key aspects and tasks within computer vision include: Image recognition: Identifying and categorizing objects, scenes, or patterns within images. This involves training...
edge: The flat or angled surface, usually fine-ground, that limits the aperture of a lens or prism surface.
edge ai: Edge AI, also known as edge artificial intelligence, refers to the deployment of artificial intelligence (AI) algorithms and models directly on edge devices, such as smartphones, sensors, IoT devices, and embedded systems, rather than relying solely on centralized cloud computing resources. On-device processing: Edge AI involves running AI algorithms and models directly on edge devices, enabling real-time data processing and decision-making without requiring data to be sent to a...

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