1D barcode inspection
Read linear codes, confirm the expected symbology and data, and check that the code is present in the defined area.
Inspect the identity before it moves on
Verify codes, characters, labels and product identity in real time, with controlled rejection and a clear inspection record.
Traceability verification
Printing or applying a code does not prove it is present, readable or correct. Vision verification closes that gap by reading the product after marking or labelling and comparing the result with the expected data.
The inspection can provide a simple pass or fail, a decoded value, a quality measure, an image record or a combination of results. It can also control a reject device and confirm that the failed product was removed from production.
Inspection capability
The inspection task should be defined precisely. Reading a code, verifying its data and formally grading print quality are related but different requirements.
Read linear codes, confirm the expected symbology and data, and check that the code is present in the defined area.
Decode Data Matrix and QR codes, parse required data elements and compare them with the production record.
Read variable characters or verify printed text against an expected string, format, pattern or approved reference.
Measure appropriate code-quality characteristics using a defined setup when formal verification or grading is required.
Compare the observed identity with the active order, approved item, allocated serial or connected data source.
Trigger the appropriate reject, track the failed item and confirm its removal with fail-safe monitoring where required.
Closed-loop inspection
Good inspection architecture manages the product from trigger to confirmed disposition, including the uncertain conditions between them.
Trigger the image at the right position with controlled optics, lighting and product presentation.
Locate the target, read its content and calculate the configured inspection results.
Check the result against the expected product, order, serial, pattern or quality threshold.
Pass, reject, stop, alert or record the product according to agreed exception logic.
Image quality first
Blur, glare, low contrast, label movement, print variation and inconsistent presentation can make a capable algorithm unreliable. We design the imaging condition and the production response together.
Reading vs verification
This distinction affects the camera, optics, software, calibration, installation and acceptance test.
Test with real products
Send representative samples and details of the production speed, code, substrate, position and acceptance requirement. We can define a suitable verification route.
Discuss vision verificationStart with the application
Tell us what you need to identify, verify and connect. We will help define a practical route from line-level hardware to usable production data.