Deploy sub-millimetre defect detection across every product, every shift — without slowing your line. Our vision systems outperform human inspection at a fraction of the cost.
Our multi-camera inspection cells mount inline with your existing production equipment. Deep learning models trained on your specific parts, materials, and defect types deliver real-time classification and rejection signals.
Models trained on your actual defects — scratches, cracks, voids, dimensional variance, colour deviation, and more.
Sub-2ms inference triggers automated rejection gates or line stops with zero human intervention required.
Every inspected part logged with timestamp, image, classification, and confidence score for audit compliance.
From surface blemishes invisible to the naked eye to micro-fractures detectable only under structured light, VisionForge covers the full spectrum of inspection requirements.
UV, IR, polarised, and structured light modes for different material types and defect categories.
Stereo and structured-light 3D for dimensional verification, flatness, and height measurement.
Models retrain automatically from production feedback, improving accuracy with every shift.
Pre-trained models available for common defect types, with custom training for your specific products.
Scratches, dents, pits, corrosion, paint defects, finish inconsistencies — detected to micron-level resolution.
Sub-millimetre measurement of lengths, diameters, radii, angles, and tolerances against CAD specifications.
Presence/absence detection of components, fasteners, labels, and seals. Wrong-part and missing-part detection.
Porosity, undercut, spatter, incomplete fusion, and crack detection in weld seams and soldered joints.
Colour delta-E measurement, label OCR verification, barcode and QR code validation, and artwork inspection.
Contamination, foreign material, and embedded particles in food, pharmaceutical, and precision parts.
Our proven implementation methodology minimises disruption to your production schedule.
Our engineers survey your production line, identify inspection points, and define defect taxonomy with your quality team.
Custom illumination and camera placement designed for your part geometry, surface finish, and line speed requirements.
We collect labelled image datasets from your actual production and train defect-specific deep learning models.
Full validation against your quality standards, including gauge repeatability and reproducibility (GR&R) studies.
Production deployment with 24/7 remote monitoring, model updates, and on-site support from our Hampshire engineers.