PRODUCTION AND QUALITY CONTROL
CSL2 Quality Control Systems
Ensures quality by instantly detecting defective products on production lines.
Overview
Controlled Quality, Proven Trust. Our AI-Based CSL2 Quality Control System combines reference-based verification and an AI-supported hybrid decision mechanism to ensure high accuracy and reliability in production processes. It automatically checks products and sets, instantly detecting defects with AI-powered image processing technology, thus reducing scrap rates. It provides traceability by documenting every quality decision with visual records and minimizes the risk of error by directing low-confidence cases to manual control. This optimizes the production process, speeds it up, and increases operational efficiency.
What Does It Check?
Label-to-part match
Compares the scanned label against the part itself, so a mislabelled item is caught before it ever reaches the box.
Set completeness
Checks that every part belonging to a set is actually on the bench. A set that looks finished but is missing an item does not pass.
Final pre-shipment check
Runs immediately before the parts go into the shipping box — the last gate before the order leaves for the customer.
How It Works
Barcodes are scanned
The operator scans the barcodes of the parts going into the set, one by one. This tells the station what the box is supposed to contain.
Parts are placed on the bench
The scanned parts are placed on the station's inspection bench. No change to the line layout and no special fixture is required.
The analysis is triggered
The operator presses the analyse button. The check depends on one button rather than on the operator's eye, so the same criteria apply on every shift.
The camera compares parts against barcodes
The station camera images the parts on the bench and uses AI-supported image processing to judge whether they match the barcodes that were scanned.
Approval is given and recorded
On a match the station approves and the parts go into the shipping box. On a mismatch — or low confidence — approval is withheld, and the decision is stored with its image record.
Key Capabilities
AI-Powered Image Processing
Detects defects instantly and precisely. Provides end-to-end traceability by documenting every quality decision with visual records.
Reduction in Scrap Rates
Minimizes waste through automatic detection. Ensures high accuracy and reliability in production processes, reducing costs.
Increased Operational Efficiency
Optimizes and accelerates the production process. Minimizes the risk of error by directing low-confidence cases to manual control.
Where It Is Used
Automotive Tier Suppliers
It verifies set completeness and part correctness at line speed, preventing the incomplete shipment that turns into a customer complaint.
Metal and Surface Treatment
It compares surface defects against reference images, producing a repeatable decision that does not depend on operator judgement.
Packaging and Kitting
It validates labels, barcodes and set contents before dispatch.
Audited Production
Because every quality decision keeps its image record, evidence requests during customer audits are answered immediately.
Organisations Using This Solution
Frequently Asked Questions
Do I have to modify my production line?
No. The system is added onto the line as a camera and lighting station; the line layout and cycle time are preserved.
How accurate is the system?
Accuracy depends on the part and the defect type. That is why every project starts with a feasibility study on your own samples, and we commit to a target accuracy that has been measured before go-live.
What happens when the system is not confident?
The hybrid decision mechanism never auto-approves a low-confidence case; it routes the part to the manual inspection station. It deliberately shifts risk from false accepts towards false rejects.
Can we access the records later?
Yes. Every decision is stored with its timestamp and image, and can be queried retrospectively by batch or serial number.
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Is this the right fit for you?
Tell us about your process and we will assess feasibility and the likely gain together.
Get in Touch