The Geminos Platform

A New Industrial Revolution

We have entered the era of Industry 4.0 – moving into this will make or break many global businesses. Think of the impact data warehousing had on Walmart and K-Mart. Now, the former is one of the largest businesses on the planet, the latter is defunct – largely due to Walmart’s successful use of data warehousing. The transition to Industry 4.0, driven by AI, will have a much bigger impact.

Digital Twins for Industrial Internet of Things (IIoT)

The Geminos platform is centered on a powerful knowledge graph that acts as a hub for business requirements, knowledge of the world around us and orchestration of the final application. It uses the concept of a digital twin of the physical world in order to provide a consistent architecture through all aspects of the platform.

This unique combination creates a foundation for using advanced AI to dramatically improve the ability of developers and data scientists to understand what they need to build, what all of their data means and how to create AI-driven applications that are more accurate and reliable. The end result will be a 10X gain in productivity.  

“Geminos significantly improves time-to-value of Artificial Intelligence (AI) solutions for Industrial and Retail customers.”

Stu Frost, Founder and CEO, Geminos Software

Use Cases

Robotic Welding

 

The robotic welding industry suffers from the following pain points:

  • High defect rates due to fixed working paths not accounting for material tolerance – this is a particular issue with arc welding
  • Lack of robustness due to limitations in welding materials and factory lighting
  • Teaching and calibration process is tedious

Using artificial intelligence, we can empower the entire robotic welding process with a ‘hand-eye’ system. Before welding, the system can suggest parameters appropriate for the material, simplifying the calibration process. During welding, positioning will be more precise by reprogramming the welding path according to material variance. After welding is complete, quality assurance can be automated quickly and accurately.

Herb Inspection

 

Cāng zhú is a popular Chinese herbal medicine created from the dried roots of Atractylodes lancea. A key part of the production process is inspecting each herb sample for any of 12 possible defects that must be identified and addressed to ensure quality. Previously, this was a manual and error-prone process, with only an 88% accuracy rate for defect detection.

By introducing a robotic inspection station to the production line, it will be possible to leverage AI-driven image classification, automatically identifying images pertaining to any given defect. This improves not only the efficiency of the human operators in the validation process, but also the quality of the overall manufacturing process.