Learn about hot topics in industrial automation. Contributed by Omron Microscan product experts, engineers, and industry leaders, Omron Microscan white papers are educational articles that discuss technology benefits, best practices, regulations, and common challenges in barcode reading, machine vision, and verification to provide expert-level guidance for success in industrial automation.
Old DPMs never die, nor do they fade away. At least they’re not supposed to meet their demise before the part carrying them goes out of service. One of the major challenges of using DPMs (short for “direct part marks”) to trace products and parts lies in the need for permanence. If a part is to be incorporated into a brand-new Boeing 737 and the aircraft is expected to stay in service for several decades, then the DPM on that part needs to last several decades as well. This is known as “cradle-to-grave traceability” – a fundamental requirement for the sake of quality control and public safety.
Many are unaware of the extent to which the theoretical field of computer vision has produced tangible benefits for manufacturing.
The ability to automatically extract information from digital images opens many doors for manufacturers striving to cut costs, improve quality and streamline their processes overall. The primary uses of machine vision are inspection, gauging, and robot guidance. This white paper by Omron Microscan explores machine vision’s fundamental functions, benefits for industrial automation and real-world applications.
Pharmaceutical manufactures are continuously faced with the cost of product recalls.
This whitepaper will help you learn about the common causes of recalls in pharmaceutical industry and how label verification can help reduce those recalls and costs.
Learn about the difference between In-line and Off-line Inspection Systems
Poor-quality labels result in material waste, potential fines, and loss of customers. By implementing both in-line and off-line label verification systems, label defects can be eliminated for nearly 100 percent reliability.
This whitepaper will help you learn how different inspection systems can help catch errors and improve productivity.
Recent product recalls have shown how important it is to have traceability data available to reduce recall costs. The most widely used method has been manual application of labels. Keeping up with modern production capabilities can be a challenge and most companies are now transitioning to inkjet or laser marking. The goal is to apply markings that can be read throughout the overall process and by the end-customer, and can also be relied upon in the case of recalls and recycling programs.
Learn about the Industrial Internet of Things and the foundational steps every manufacturer should take now to prepare their operations for the coming Industrial Internet Revolution.
With compliance dates on the horizon for implementing UDI for new classes of medical devices, businesses must be proactive in ensuring standardized product serialization and update their labeling procedures at a rapid pace, or forfeit the right to participate legally in the marketplace. This whitepaper offers guidelines for simplifying each step toward UDI compliance and answers common questions about the FDA UDI rule.
This white paper focuses on barcode reader connectivity options and the uses and benefits of each in modern manufacturing environments. Ethernet communication is not always the best choice but offers many advantages.
Lighting plays a key role in the performance of a machine vision system. Optimal lighting yields high contrast images that are read reliably and consistently by the vision system, saving time, effort, and money in the long run. This white paper outlines eight helpful tips for choosing the optimal lighting solution for a machine vision application.
Learn the common print defects of continuous inkjet (CIJ) printing in high-speed packaging lines and how to ensure print accuracy with creative implementations of machine vision tools that provide the lowest rate of false failures.