Highlights –

  • With this new video-based quality solution, industrial and energy plant managers can securely deploy AI and other cloud-based workloads at the mission-critical edge to obtain better business outcomes.
  • The new solution can now deploy any containerized service to the mission-critical edge without compromising security or performance.

Lynx Software Technologies (Lynx), a leader in Mission Critical Edge, revealed that the LYNX MOSA.ic platform supports the deployment of Google Anthos Bare Metal at the mission-critical edge. This allows the delivery of containerized software services from the cloud, such as Google Cloud Visual Inspection AI service, to provide a validated solution for secure, video-based quality inspection in industrial and energy facilities.

The deal presents the following solutions–

  • Easy deployment of real-time image capturing on devices such as cameras on manufacturing plant floors.
  • Inference models built by Google Cloud Visual Inspection AI that generates insights.
  • A supervisory controller that connects to the Manufacturing Execution System (MES) and translates insights into action.

A supervisory controller that connects to the Manufacturing Execution System (MES) and translates insights into action. Furthermore, Lynx’s technology provides immutable isolation and non-bypassable security, assuring plant or facility managers that the solution meets OT security needs.

Because the solution uses Google Anthos bare metal support, a full Kubernetes cluster may now be run locally in as little as one hardware machine at the edge, with Lynx enabled virtual air gapping providing isolation between the various parts of the system.

Earlier, the integration of Operational Technology (OT) and IT worlds – required training AI and machine learning models in the cloud and deploying cloud-based workloads at the edge – posed security challenges in mission-critical industrial environments.

Image capture (camera), insight via inference engine (Google Anthos), and the action with a supervisory controller are the three functions that Lynx ensures. They are also completely sandboxed with the option of secure one-way (data diode) connections between them.

“As a provider of mission-critical edge, we’re thrilled to announce support for Google Anthos Bare Metal and Google Cloud Visual Inspection AI,” said Pavan Singh, Vice President of Product Management at Lynx. “With the new solution we’re jointly bringing to market, any containerized service can now be deployed to the mission-critical edge without compromising security or performance. This partnership also marks an important step in our growing industrial ecosystem.”

Those industrial and energy companies that are already undergoing the strain of supply chain disruptions, labor shortages, and more, this video-based quality platform enhances performance and quality of output while minimizing security risks.

With the help of an efficient visual inspection, defects can be reduced by up to 10x, defective parts can be prevented from being shipped out, and one can glean insights into the cause of any defects to optimize processes.

The solution works on an Advantech MIC770. However, the LYNX MOSA.ic solution can run on various Intel and ARM processors. This flexibility proves that different types of solutions can have local/on-prem management that fully leverages the benefits of cloud solutions.

The newly formed partnership aligns with Lynx’s growing technology partner ecosystem that will push the realization of mission-critical edges within industrial settings. Bosch VHIT, Microsoft Azure, and Eurotech are other newly formed recent partnerships.