By integrating data from various production equipment, QualityLine identifies inefficiencies, defects, and bottlenecks, allowing manufacturers to address issues proactively. Its machine learning algorithms detect patterns and predict potential failures, reducing downtime and improving yield rates.

Additionally, the technology facilitates continuous improvement by offering actionable recommendations for SMT process optimization. With QualityLines’s comprehensive SMT Analytics dashboard, SMT operators and managers can monitor quality metrics effortlessly, ensuring consistent product quality and higher overall production efficiency.

QualityLine AI solution continuously collects SMT assembly and testing data, from any of your factories (including from EMS) in real time and analyzes them to create a global end-to-end control that optimizes quality and efficiency in manufacturing by 30% within the first year of use.

• Pick & Place process – failure analytics 
• SMT Testing analytics (AOI, Flying probe, AXI, SPI, ICT – any type of testing model), drill down and analysis.
• DPMO Analysis.
• Prediction of REAL failures in SMT.
• Prediction of FALSE failures in SMT. 
• SMT analytics (any type of testing model), failure analysis and prediction
• Products analytics, failure analysis and prediction 
• Testing stations analytics (any type and model), failure analysis and prediction
• Retests analytics
• Repairs and RMA analytics
• Recall prediction analytics.
• Automatic root cause analysis 
• Gage R&R module.
• OEE Analytics. 
• Compare analytics 
• Automatic Alerts for abnormal issues module.
• Automatic Reports scheduling module.
• Preventive Maintenance of testing equipment module. 
• Cp/Cpk analysis and simulation and prediction of failures. 
• Traceability: Traceability of test history and repair of every serial number through its life cycle. 
• Manual testing data analytics