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Using Deep Learning in Spot Welding Applications

Strong, durable spot welds extend the lifespan of electrical components, improve quality, and reduce return costs. However, in a typical production line, there are too many welds, too few people, and not enough benefits to justify manual inspection. Deep learning provides an alternative solution to automate the process.

This guide from Cognex provides a summary of the four key phases of deploying deep learning to automate spot weld inspections:

  1. Prototyping
  2. Factory validation 
  3. Production deployment
  4. Classification for process control

Understanding these phases helps manufacturers to quickly and easily inspect every weld on every part and ultimately ensure the integrity of the final product.

Deep learning for spot welding white paper flipbook image

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