Hole detection
Detect holes, determine their position and identify missing features.
SuPAR AI
Automatically inspect recurring features.
SuPAR AI detects and verifies defined inspection features from image captures. Deep-learning modules handle recurring visual inspections and provide a scalable foundation for series and high-volume production.
DEEP LEARNING · VISUAL INSPECTION
DETECT
→
VERIFY
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DOCUMENT
Deep Learningfor visual inspection
Plug-and-Playspecialised inspection modules
Automateddetection and verification
Scalablefor recurring inspections
Specialised modules
Trained for defined inspection features.
Each module focuses on a recurring visual inspection task in sheet-metal inspection.
Spot-weld verification
Capture and visually assess spot-weld joints from images.
Stud inspection
Check whether studs are present and installed as specified.
Slots and weld seams
Other recurring features can also be covered by specialised inspection modules.
From image to evidence
Automated inspection in three steps.
Image capture does not replace the defined inspection process – it makes its recurring visual decisions automatable.
Capture the feature
The relevant part feature is recorded using a defined image-capture process.
Evaluate automatically
The specialised deep-learning module detects position, presence or characteristics.
Document the result
The assessment is recorded in a traceable, automated report.
One system, three tasks
Composer, App and AI work together.
SuPAR Composer
Prepares CAD data, tracking geometry, scenes and the guided inspection sequence.
SuPAR App
Brings CAD target geometry and the real part together for visual AR inspection.
SuPAR AI
Automates clearly defined, recurring feature inspections based on image capture.
Assess automation potential
Show us your recurring inspection feature.
Together, we determine whether an existing SuPAR AI module fits your application.