Before01
Company overview
- Counting done by eye
- Errors from stacking
- Missing count records
AX Solution
Vision inspection
Zero-defect quality management completed by precise, vision-AI-based inspection
OVERVIEW
What the eye misses,a trained model sees the same way every time
From image capture through pre-processing and feature extraction to judgement and feedback, as one flow.
KEY FEATURES
Four capabilities that replace visual inspection
From surface inspection through defect detection and dimensional measurement to quality statistics.
Capability Index04
Vision Capability
01 / 04
01
Automated visual inspection
Defect detection
Precision dimension measurement
Quality statistics and process optimization
It instantly detects minute defects with a high-performance vision system and deep-learning algorithms. By establishing a uniform quality standard with no variation between operators, it raises shipment reliability.
Management Scope
- High-speed image processing
- Full-inspection automation
- Multi-angle camera control
- Real-time judgment monitoring
- Lighting and exposure optimization
- Unstructured data collection
Real-time image capture
High-resolution cameras and optics capture surface images during production in real time
SYSTEM ARCHITECTURE
How it is built
Floor imagery gathered and learned, then returned as a verdict.
Advanced deep-learning technology overcomes the limits of visual inspection.
Electronic components
Robot vision
Automotive
Precision machining
Secondary batteries
Food/pharmaceuticals
Electronic components
Robot vision
Automotive
Precision machining
Secondary batteries
Food/pharmaceuticals
A camera judges every piece, including the flaws a person misses.
- Inspection images
- Lighting and capture conditions
- Pass criteria
- Defect type history
- Judgement feedback
AI Vision
- Defect candidate detection
- Type and grade classification
- Criteria retraining
- Detection rate
- Missed defects
- False rejects
- Inspection effort
EFFECT
Business impact
What it leaves behind — in detection rate, misses, false rejects and inspection effort.
BUSINESS OUTCOME
Inspection results,turned into measurable results
- FIND
Higher detection rate
High-resolution imaging and deep learning catch the fine defects the eye misses, and hold one standard with no drift between judgements.
Detection rate · judgement drift · defect size
- MISS
Fewer misses
Every unit is inspected, so nothing slips through a sample, and a model per defect type learns the patterns that are easiest to miss.
Miss rate · full inspection · defect types
- OVER
Fewer false rejects
The boundary that used to call a good part bad is re-set from data, so sound product stops being scrapped or re-run.
False rejects · thresholds · rework
- TIME
Less inspection effort
Inspection staff move to higher-value work, and the time spent re-setting the line for a different item comes down.
Staffing · changeover · hourly output
CASE STUDY
Case study
Manual counting automated, taking accuracy to around 99.9%.
Customer industry
Primary steel manufacturing
After02
Implementation
- Cognex camera capture
- Job event triggers
- Busy-scene detection
Business impact
Inspection automation where AI vision does the counting
What the eye misses, the camera judges on every part.
Tell us the part and the defect types — we come back with the optics, the lighting and a plan for the training data.
Talk to us