Inspection Module: Precision and Intelligence Combined
Discover the Inspection Module, where cutting-edge precision engineering meets advanced artificial intelligence to redefine quality control standards in pharmaceutical literature inspection. At the core of this module are Keyence's sophisticated AI cameras, which blend artificial intelligence with rule-based vision tools to ensure unparalleled accuracy and efficiency.
This module leverages state-of-the-art technology to conduct comprehensive assessments of pharmaceutical inserts and outserts, detecting a wide range of issues from dimensional inaccuracies to adhesive application errors. Its AI technology not only identifies potential defects but also learns from them, continuously enhancing its inspection capabilities to adapt to varied product specifications.
In addition to quality checks, this module offers the option to handle variable data, such as printing and verifying QR codes. Equipped with a printhead and an additional camera, it can print QR codes directly onto the products and immediately verify the printed data, ensuring that each piece of literature not only meets quality standards but also carries correct, readable information.
Beyond its technical prowess, the Inspection Module is seamlessly integrated with other system components—the Hugger, Curing, Reject, and Stacker modules—creating a cohesive and efficient workflow. This integration ensures high-throughput processing with minimal manual intervention, allowing only products that meet strict quality criteria to proceed.
Explore the initial stages of the Inspection Module's development in this gallery, which showcases early designs and models.
Gallery 1: Inspection Module Conceptual Beginnings
Gallery 2: Inspection Module Prototype
This gallery illustrates the transition of the Inspection Module from concept to working prototype, capturing the essential steps of testing and refinement.
Gallery 3: From Design to Deployment
This gallery displays the Inspection Module through various stages: a design rendering, a standalone module photo, and the system both offline and in operation.