Validating a vision system

Multi-level permissions can be configured to limit users’ access to only the controls for which they are authorized.

Plus, the compact, all-in-one In-Sight “smart camera” systems are easier to maintain and validate for Part 11 compliance than most PC-based machine vision with Microsoft® Windows® operating systems.

Vision systems often store or generate sensitive information such as product tolerances, inspection recipes and quality control data.

A particular concern involves the transfer of serialized data in the pharmaceutical industry.

The smart camera approach to traceability is less expensive to install, less complex to validate and less costly to maintain than previous options.

Because it can be combined with a variety of third-party products, you have the flexibility to customize and scale serialization solutions to best suit your budget and needs.

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Often these systems are created after the development and execution of the assembly process and core automation.

When the product being manufactured is complex, the attributes to be inspected are more qualitative than quantitative, or the cost to develop an automated system is high, manual inspection processes may often be more effective than automated systems.

On the other hand, a manual process can lead to inconsistencies in the inspection results, particularly when there is a certain amount of acceptable nonuniformity or variability in the finished product or when the process relies on the inspector's judgment and training.

The In-Sight® Track & Trace identification and data verification solution for healthcare serialization addresses the requirements for pharmaceutical and medical device manufacturers to achieve unit-level and bundle product traceability.

In-Sight Track & Trace software works with multiple networked In-Sight vision systems to decode human-readable text along with 2-D and 1-D barcodes.