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AI4M Collaboration: Machinery Analytics | NGen

We’re looking to work with manufacturers of technically challenging products to scale our image analysis capabilities to provide value at higher volumes. Together, we would install, or use an existing, in-line X-Ray imaging system. We would then use our software and AI/ML capabilities to detect product defects and improve product quality. Examples of applicable technologies: braze joints, welding, etc.

About Machinery Analytics:

Our goal is to help manufacturers tackle the complexity of their products, accelerate development, and improve quality through our cloud-based software platform which analyzes time-series and image data to automate failure detection. We provide value to manufacturers across product development, from R&D to operations.

Project Objectives:

  • Going beyond pass/fail analysis & driving deeper quality insights.
  • Characterizing faults to determine route cause quickly
  • Improving manufacturing processes through a novel way of analysing image data and combine it with other time-series/sensor data

What THEY bring to the table:

  • Software for easy data visualization (Robust algorithms for X-ray and optical microscopy analysis)
  • Ability to identify voids in weld and braze joints, and provide specific measurements (analyzing 360 degree X-Ray images of braze joints in their pilot line; able to identify voids and provide specific image measurements & have software to visualize analyzed data and see overall lot performance)
  • Support to build and deploy in-line system as needed

What YOU will bring to the table:

  • Manufacturer of a complex product looking to improve yield and drive innovation in in-line inspection and analytics

If you are interested please complete the following form.
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