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OCR & Character Verification

Read and verify serial numbers, batch numbers, expiry dates, MRP, manufacturing codes, model codes, and printed characters — confirming the right text is printed, legible, and correct on every unit.

Every character read, every print verified

A smudged batch number, a missing expiry date, or a wrong MRP is easy to miss by eye and expensive in recalls, rework, and compliance penalties. Manual checks sample a handful of units; at line speed, the rest go unchecked.

Vision-based OCR reads printed text inline and compares it against the expected value from your PLC, ERP, or a master record, logging the result against each unit. Modern deep-learning OCR copes with curved surfaces, low contrast, and dot-matrix text that older tools struggle with.

What we read and verify

Each marking method calls for a slightly different imaging and reading approach.

Serial Numbers

Read unique IDs and confirm they are legible, sequential, and not duplicated.

Batch & Lot Numbers

Verify batch codes match the order data and are fully printed.

Expiry & Mfg Dates

Confirm dates are present, correctly formatted, and not truncated.

MRP & Pricing

Check price and MRP lines against the approved artwork or data.

Model & Part Codes

Validate model, variant, and part numbers on nameplates and housings.

Embossed & Engraved Marks

Read stamped, laser-etched, or dot-peened characters on metal and plastic.

How the setup changes with the marking method

A quick sense of what typically drives the setup — the exact tools are always tuned during commissioning.

Inkjet & Dot-Matrix

Diffused or ring lighting with learned-font OCR to join broken dots into whole characters.

Laser-Marked Metal

Dark-field or low-angle lighting to separate shallow marks from the surface texture.

Embossed & Engraved

Low-angle bar or dome lighting that casts shadows to bring raised and cut characters out.

Glossy & Curved Surfaces

Dome lighting with polarizers to remove glare from bottles, foil, and film.

Low-Contrast & Busy Backgrounds

Contrast enhancement, filters, and deep-learning OCR to pull text out of cluttered or low-contrast surfaces.

Sample Data

Read rate in sample deployments
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Marking methods covered
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Units verified vs. sample checks
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Industries in case studies
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Case studies

OCR & Character Verification in the field

Before
After

Verifying batch and expiry on every carton

A pharma packer relied on operator spot checks for lot and expiry prints. A smart camera after the coder now reads and matches both against the order, rejecting any carton that fails.

100%

Cartons verified

<80ms

Read time

Zero

Mismatches shipped

Before
After

Reading laser-marked serials on machined parts

Serial traceability broke whenever laser marks faded or were skipped. Dark-field imaging and deep-learning OCR now read every serial and write it to the traceability database.

99%+

First-pass reads

~35%

Fewer traceability gaps

<150ms

Cycle time

Before
After

Checking MRP and mfg date on fast-moving packs

Wrong or blurred MRP and date prints caused relabeling batches. A camera and light station after the printer now verifies every pack and triggers an alarm on the first bad print.

100%

Packs checked

~45%

Less relabeling

<60ms

Per pack

Industries that lean on this application

Still reading codes by eye?

Tell us what needs to be read, what it is printed on, and what it should match. Our application engineers will recommend the camera, lighting, and lens combination to do it on every unit.

Book an Application Consultation

Share your requirement, our expert will be in touch with you on same day