Industrial quality inspection applies learned vision models to every part on the line, detecting defects and anomalies, verifying packaging and counting output, with results delivered to your PLC and quality systems.
Quality depends on catching defects before product leaves the plant. Manual inspection cannot keep pace with modern line speeds, its judgments drift between inspectors and shifts, and it leaves no image record of what was examined. Defects that escape become returns, recalls and lost trust.
Traditional machine vision helps on highly controlled parts but struggles with natural variation, subtle surface defects and the new defect types that appear with every process or supplier change. Each adjustment demands re-engineering of thresholds and templates.
Our inspection solution uses supervised models for known defects and anomaly models trained on good parts for the unknown ones. It runs within the cycle time, triggers rejects and alarms automatically and stores every inspection with its image for traceability.
Each capability is marked so you can distinguish what we deliver today from capabilities engineered to your specification.
Detection and segmentation of scratches, dents, cracks, contamination, discoloration and missing features on your parts, with location and size.
Accurate counts of discrete items, bundles or units on conveyors, with handling for overlap and speed variation.
Models trained on good product alone flag any deviation from normal appearance, catching defect types never seen before.
Verification of label presence and legibility, date and lot codes, cap and seal integrity, fill level and correct variant.
Detection of stoppages, jams, misfeeds and abnormal machine states from line cameras, surfaced to operators in real time.
Trend dashboards by shift, line and defect type, with image records searchable by batch and part identifier.
Combined views for complex geometries and height or volume measurement using depth sensing.
The pipeline behind the solution, stage by stage.
Cameras, optics and lighting are engineered so each defect class is visible and consistent in the image, triggered in sync with part movement.
Models execute on an edge device or line PC with deterministic latency, returning a decision before the part reaches the reject station.
Thresholds set against the cost of false rejects and escapes drive pass, reject or review decisions, sent to the PLC through industrial I/O or protocols.
Every inspection is stored with image, result, confidence and part identifier for traceability and audit.
Low-confidence and disputed results are reviewed by quality engineers and fed back into retraining.
Inspection criteria applied identically on every part, every shift.
Defects that are subtle or new are caught, not just the ones in the rulebook.
Complete image-level traceability for every unit produced.
Reject decisions executed automatically without slowing the line.
Faster changeover to new products through retraining rather than re-engineering.
Automate visual inspection, anomaly detection, product counting and manufacturing intelligence.
Custom detection, classification, segmentation, recognition and tracking systems.
Deploy optimized AI models directly on edge hardware for responsive local inference.
Send sample images of good and defective parts along with your cycle time. We will tell you what is detectable and how we would image it.