Zebra
172 Case Studies
A Zebra Case Study
Del Monte Foods, a high‑volume food and beverage manufacturer, faced a critical challenge: labeling inaccuracies on thousands of cans per minute that could cause production inefficiencies, consumer safety risks, retailer fines and costly recalls. Ensuring every can, case and pallet carried the correct, legible code was essential to protect consumers and the brand.
Working with Tensor ID and Zebra Technologies, Del Monte implemented an AI‑driven machine vision solution—TensorVision360 with Zebra FS40 fixed scanners, CV60 cameras and Aurora software—to inspect 100% of labels and OCR print in real time, auto‑focus and integrate with its MES. The system delivered near‑perfect verification, eliminated much manual adjustment and paperwork, reduced downtime and retailer fines, improved safety and productivity, and paid back implementation costs during the pilot year.
Dan Tauferner
Continuous Improvement Manager