Transform inspections with Visual Insights

Intelligent inspections replace routine maintenance

Preventive maintenance inspections are a critical part of any successful condition monitoring program. Yet traditional manual inspections can be time consuming, costly, error prone and occasionally dangerous.   

As cameras, audio sensors, drones and unmanned vehicles begin to take the place of hands-on technician visits — especially in dangerous environments — pioneering organizations are using artificial intelligence (AI) techniques to inspect equipment. These organizations are able to safely limit wasted effort from unnecessary in-person inspections, reduce inspection times, address skills gaps, and improve the consistency of identifying problems that can result in downtime.

Key capabilities of Visual Insights

  • Machine learning for visual feature extraction
  • Edge processing for rapid image acquisition and processing
  • Confidence levels for more accurate and automated defect identification
  • AI for continual improvements in detection and recognition accuracy

Tune up inspections with Acoustic Insights

Identify problems faster and more consistently

Manufacturers are using acoustic pattern recognition technology with AI-powered insights to non-destructively and non-intrusively improve quality and prevent costly equipment downtime. This frees inspectors from manual methods that require time and experience to master. When Acoustic Insights is deployed on the factory floor, it can identify audible and inaudible sounds related to equipment failure and suggest maintenance.

The use of AI in preventative maintenance can reduce inspection times and costs while increasing accuracy and consistency, which helps improve the productivity and performance of maintenance teams.

Key capabilities of Acoustic Insights

  • AI algorithms for real-time acoustic recognition from unstructured data
  • Continual defect model improvement for increased accuracy over time
  • Sound pattern recognition for non-destructive identification and monitoring
  • Acoustic pattern analysis for early detection of equipment degradation

Transform inspections with IBM Maximo PQI – Visual Insights

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Inspection time and cost reduction

Detects issues with image recognition technology fast using AI-powered visual inspection techniques, helping to automate the inspection process and reducing the need for manual in-person inspections.

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Inspection process reliability improvement

Identifies problems that the human eye can’t and classifies issues using confidence thresholds to help improve consistency and accuracy of defect identification when compared to manual approaches.

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Health and safety improvement

Uses image recognition technology to reach places that humans cannot safely inspect, so inspectors can stay out of dangerous environments.

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Inspection training time reduction

Reduces the need for costly and time-consuming inspection training while reducing the impact from inspector churn by centrally capturing problem classification and root-cause identification.

Tune up inspections with IBM Maximo PQI – Acoustic Insights

Real Time

Real-time acoustic recognition

Identifies sound and vibration patterns from unstructured acoustic data using deep-learning AI algorithms, while being trained in the cloud to identify anomalies, defects and maintenance issues.

Early Detection

Early detection of equipment degradation

Detects subtle signs of equipment degradation or malfunction and uses acoustic patterns to identify the root-cause and suggest maintenance well before damage becomes an expensive problem.

Early Detection

Non-destructive inspection

Employs sound pattern recognition, which is non-destructive, so you can identify, monitor and proactively remedy issues when environmental or physical obstructions make it difficult to observe tests.

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Defect model creation

Combines machine learning based on curated acoustic recordings of defects and human knowledge to create a defect library that can be deployed to automate quality inspections and diagnostic analysis.

Learn more about Visual Insights and Acoustic Insights

Learn more about Visual Insights and Acoustic Insights Schedule a consultation