What We Do
We help customers deploy machine learning and advanced analytics on collected test, measurement, and inspection data to drive ongoing continuous improvements, making products and processes more intelligent over time.
Improved Yields & Throughput
Eliminate false rejects and reduce manual re-inspection through powerful defect detection and classification tools.
Simplified Support & Training
Train systems with existing collected data as opposed to custom development and configuration.
Enhanced Quality & Performance
Continuously learn from collected process data to ensure systems become more intelligent over time.
How It Works
Machine learning models are custom built for each application and data set, and overall model performance is always demonstrated prior to integration with the real-time process.
Data Collection & Classification
Use existing or new data to create training and validation data sets required for custom model generation.
Model Generation & Learning
Create and tune machine learning models using classified data sets, with offline validation of results prior to real-time integration.
Real-Time Process Integration
Integrate generated models into real-time inspection or test systems, to replace legacy inspection modules.
Advanced Vision Inspection
Enhanced Defect Classification and Model Training
Data Signature Analysis
Training and Detection of Sound & Vibration Signatures
Non-Destructive Data Analysis
Training and Classification of Complex Data Patterns
We start each machine learning application with a discovery phase to better understand the customer and project requirements and demonstrate potential solutions.
Included with this phase is a review of the technology options, machine learning approach, and time and cost to complete.