AI Helps Manufacturers Identify Product Defects

A California-based startup called Instrumental developed an intelligent AI inspection system to help manufactures identify product defects on the assembly line.

The California-based startup, founded by two form Apple engineers have raised over $10 million to make it easier to manufacture electronics and head off complicated problems before they start costing companies thousands of dollars a minute. Their customers, including Fortune 500 companies, have used the system to virtually disassemble 16,000 units and to take over 40,000 measurements, all remotely.

Instrumental makes a hardware box that goes on the assembly line and takes a photo of every device that passes through and they recently announced their deep learning software called Detect which highlights units that appear defective or anomalous, giving customers a significant edge in discovering and resolving product issues.

Using TITAN X GPUs and cuDNN with the TensorFlow deep learning framework, they are able to process hundreds of units in seconds and identify the most interesting units to review.

Instrumental Detect ranks small or large regions of units by how different they appear so that it’s easy for an engineer to understand process or quality issues that may be present.

According to their blog, an engineer using Detect remotely caught an assembly process issue still in progress on the line and was able to inform the factory to correct it right away. To help with this, Instrumental uses Tesla GPUs on the Amazon cloud to provide customers with real-time results.

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About Brad Nemire

Brad Nemire
Brad Nemire is on the Developer Marketing team and loves reading about all of the fascinating research being done by developers using NVIDIA GPUs. Reach out to Brad on Twitter @BradNemire and let him know how you’re using GPUs to accelerate your research. Brad graduated from San Diego State University and currently resides in San Jose, CA. Follow @BradNemire on Twitter