Requirement
Define observable defects, tolerances, line conditions, data and failure responses.
Evidence for controlled production
Label inspection validation and production-data recording
Define what the system must prove, which records the process needs and how recipes, access, challenge tests and failed products will be controlled.
✓ URS and acceptance criteria✓ FAT and SAT support✓ Result and audit options
What does validation mean for a label inspection system?
Validation provides documented evidence that the configured system is suitable for its intended use under agreed conditions. The customer defines the regulated process and approval route; the supplier supports it with a testable user requirement, design information, risk-based challenge tests, factory and site acceptance evidence, controlled recipes, training and agreed records.
A camera or software platform is not automatically compliant with 21 CFR Part 11, EU GMP Annex 11 or another regulation. Compliance depends on the complete configured system, procedures, data use, access, infrastructure and customer validation.
Design evidence
Trace cameras, handling, controls, software and records to the intended use.
Challenge tests
Use known-good and known-bad samples for recipes and reject safeguards.
Lifecycle control
Manage access, backups, changes, maintenance and periodic review.
Regulated users should base their data requirements on the applicable rules and risk assessment. See the MHRA’s GxP data integrity guidance and the FDA’s Part 11 scope and application guidance.
Records with a purpose
Agree what is retained and who will review it
More data is not automatically better. Store the information needed to release, investigate, trend or maintain the process.
- Production totals, passes, rejects and reason codes
- Selected failed images and associated timestamps
- Active recipe and product or job identifiers
- User access, recipe changes and audit records where required
- Alarm, reject-fault and safeguard status
- Export, backup, retention and archive arrangements
Documentation route
Build acceptance evidence from the user requirement
Documentation is selected around the customer’s quality system and risk, rather than added after the machine has been built.
- 01
URS
State intended use, defects, products, access, records and interfaces.
- 02
Design review
Confirm how optics, handling, software, controls and rejection meet the URS.
- 03
FAT and SAT
Challenge agreed good and bad samples, recipes, faults and safeguards.
- 04
Handover
Train users and transfer manuals, backups, test evidence and maintenance tasks.
Practical answers
Validation and data questions
Does Oxford Vision Systems provide IQ and OQ documentation?
Validation-support documentation can be scoped to the project. The exact IQ, OQ, traceability, test evidence and customer approval responsibilities should be defined before quotation.
Is the system 21 CFR Part 11 compliant?
No platform should be described as automatically compliant in isolation. Part 11 applicability and compliance depend on the configured system, electronic records, procedures, access, infrastructure and validation for the intended use.
Can failed images and inspection results be stored?
Yes, where storage capacity, trigger rules, metadata, retention, access, export and backup are defined. Selected failure images are often more useful than retaining every image.
How are recipes and setting changes controlled?
Options can include access levels, approved recipe creation, change records, backups and challenge tests. The required controls depend on the selected platform and the customer’s quality process.
Application review
Request a project reviewDefine the evidence and records before the system is quoted
Send the intended use, quality-system expectations, data flow, access model, retention needs and required acceptance documentation.