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Reduce inspection costs while improving process throughput

IBM Visual Insights uses cognitive capabilities to review and analyze parts, components, and products and identify defects by matching patterns to images of defects that it has previously analyzed and classified. Create hundreds to thousands of defect models using cognitive and human expertise. Deploy models to edge computing on production lines to facilitate rapid image capture by camera and cognitive identification of defects. Quickly assess quality inspection metrics across manufacturing processes. Cognitive capabilities can help reduce inspection times, increase yield, and facilitate continuous process improvement.
IBM Visual Insights

Quality inspection cost reduction

Cognitive visual inspection capabilities can help automate inspection processes, accurately identifying defects with confidence and speed, and significantly reducing the need for manual inspections.

Inspection process consistency

Cognitive classification and comparison, including confidence thresholds, of defects against defect models provide significantly more consistent and accurate inspection compared to manual methods.

Inspection time reduction

Cognitive capabilities can increase speed and accuracy of defect identification to help reduce inspection time, improve manufacturing yield, and increase process throughput.

Transform Visual Inspection with Cognitive Capabilities

  • Machine learning for visual feature extraction
  • Edge processing for rapid image acquisition and processing
  • Cognitive and human expertise create defect models
  • Accuracy of defect identification
  • Cognitive for continual improvements in accuracy
  • Utilize existing camera and image capture systems

Security and privacy in the cloud

  • IBM enables companies to scale and adapt quickly to changing business needs without compromising security, privacy or risk levels when using IBM cloud offerings.

    Learn more about IBM Cloud security

Product images

Classify defects using both cognitive and human expertise.
Classify defects using both cognitive and human expertise.
Easily create new defect models or base them on existing models.
Easily create new defect models or base them on existing models.
Centrally manage creation, status, and deployment of defect models.
Centrally manage creation, status, and deployment of defect models.
Review any defect classifications not meeting confidence threshholds.
Review any defect classifications not meeting confidence threshholds.
Apply human expertise only when necessary to verify defects.
Apply human expertise only when necessary to verify defects.
Supervisors easily assess inspection KPIs across manufacturing lines.
Supervisors easily assess inspection KPIs across manufacturing lines.