Vision AI & Object Detection
Intelligent eyes on your production lines, warehouses and stores

- Category
- Documents, vision and industry
- Model
- open, installed on your premises
- Data
- never leaves
- Subscription
- €0 per month
Manual visual quality control is slow, subjective and expensive. A tired operator misses defects. Lighting variations confuse human perception. And at industrial rates of 100+ parts/minute, human control is physically impossible. Vision AI detects, classifies and alerts on visual anomalies in real time, at speeds and precisions impossible for the human eye.
The undetected defect rate in manual quality control is 5–15%. Product recalls cost millions. Manual warehouse inventory is 3–8% inaccurate. And without automated vision, the visual data from your operations stays unexploited.
Industrial or IP cameras transmit images in real time to our vision pipeline. Object detection models detect and classify objects, defects or anomalies. Results are sent in real time (<100ms) to the control system or dashboard. False positives are filtered by a secondary validation model.
Live in four steps.
- 01Visual environment audit
Analysis of your constraints (lighting, line speed, defect types, required resolution). Hardware selection if needed.
- 02Dataset assembly
Image collection and annotation (defects, objects, SKUs). Minimum 500–2000 annotated images depending on task complexity.
- 03Training & validation
Detection model training on your data. Real-world validation on your line or test environment.
- 04Deployment & integration
Edge or cloud deployment. Integration with your SCADA, ERP or alert system. Continuous performance monitoring.
Results you can measure.
Vision AI models detect defects at precisions impossible for the human eye, even at high speed.
Fewer human quality inspectors, fewer defects reaching production, fewer costly product recalls.
Every inspection produces structured data: defect rates by line, by hour, by SKU. A continuous improvement tool.
What we get asked before signing.
Does the solution work in real time on a fast production line?
What types of defects can be detected?
Do we need to replace our existing cameras?
Can the model improve over time?
Let's talk about your case for thirty minutes.
A conversation to understand your context, volumes and tools. You leave with a scope and an order of magnitude, no commitment.