No More Surprises: Real-Time Anomaly Detection with QualityLine
QualityLine’s platform brings together AI, machine learning, and automation to identify anomalies in manufacturing quality processes—without requiring hardware upgrades or major IT changes. 1. Effortless Data Integration QualityLine automatically harmonizes data from testing stations, sensors, ERP/MES systems, and manual inputs using AI‑powered pattern recognition—no APIs…
AI technology to avoid tier 1 modules recalls
The automotive industry places great importance on maintaining superior quality, and suppliers can achieve consistent quality throughout the production chain by leveraging advanced manufacturing technologies. This article explores the various benefits that automotive suppliers can gain from advanced manufacturing in the industry. Enhancing Predictive Analytics…
Apex IPC expo 2023 in San Diego will feature QualityLine’s innovative AI Manufacturing analytics powered by automated data integration from any data source
Any size of company can benefit from technology, which improves product quality and manufacturing efficiency, and reduces recalls and warranty costs (San Diego, California-)- QualityLine will present its AI software manufacturing analytics solution to manufacturers at the largest event in North America for the electronics…
Smart Manufacturing: Get your factory smart and digital in no time
Data is an essential component in making a smart and digital factory. What methods are used to control manufacturing data? First method: Installing IoT devices on the machines in order to learn their behavior. Requires hardware installation and maintenance. Implementation of this method is expensive….
Iso 27001 Certification – QualityLine’s recognition for information security and management.
We’re happy to announce that QualityLine has been officially certified by ISO-27001 for information security and management. ISO 27001 certification is an international recognition that QualityLine has invested in trustable processes and technology to guarantee that customer’s data is sufficiently protected. We would like to thank…
