Label-Aire: Printer/applicator

Label-Aire has introduced the 2128-N Merge printer/applicator, featuring wipe-on labeling technology that can be configured for wrap labeling by using a loop box for storage of preprinted labels.

Label-Aire

Nov 30, 2005

Additional features include automatic setup with programmable label pages, advanced user-configurable I/O connectivity, and automatic speed following to ensure accurately applied labels even through changes in product speed. Rugged construction ensures operation even in hostile environments.

Label-Aire

Videos from Label-Aire

Label Aire® 3111 NV Air Blow & Belt Conveyor

LAI Europe Cartoning Video

Label-Aire®

Fill out the form below to request more information about Label-Aire: Printer/applicator

Machinery Basics

10 Different Types of Labeling Machines for Your Product

What are the Different Types of Multipacking Equipment?

Get a Quick Overview of Conveyors

Learn How Horizontal Form/Fill/Seal Machines Work

OEMs can use remote services to solve many issues without the need to travel to end-users' plants, but some problems still require in-person assistance.

Practical Applications for the Future of Remote Services

End-users are finding remote services and monitoring are ideal for OEM support, but in-person visits are harder to replace for things like FATs and some training.

Amazon’s AI Model Intuitively Right-Sizes Packaging

Bottles produced with a 3D printed tool are nearly indistinguishable from the final product produced through traditional metal tooling processes. From left to right: the two-part mold 3D printed with Rigid 10K Resin, a bottle produced with the mold 3D printed with Rigid 10K Resin, a bottle produced with a metal mold, and a labeled prototype bottle for customer testing.

3D-Printed Molds Speed New Unilever Bottle Designs to Market

Registration Is Open for PACK EXPO International 2024

How CooperVision Streamlined Packaging Artwork Management

How AI is reshaping CPG manufacturing operations

Today’s CPG companies are faced with mounting challenges in their manufacturing operations. You have the data that could help you, but can you turn that data into knowledge? See how artificial intelligence can help. Learn what’s working for Pfizer, Post, and Smithfield.