• Accelerate the development of the Industry 4.0 platform for zero defect manufacturing

• Significantly improve the industrial quality control process of coating curing on furniture production


The anomalies detected by the Multicursor system and reported by zApps (zAnomalyDetector, zAlarm) correspond in 99 % of the cases. 

• The defective items or batches detected by the Multicursor system and the defective items reported by zApps (zMaterialID) correspond in 99 % of the cases. 

• The anomalies detected by the Multicursor system and documented by zApp (zRemoteQC) correspond in 99 % of the cases. 

• Digital twin module obtains the Multicursor system data and allows to adjust the parameters in 99% of the operation time. 

• Digital twin (that is based on zDigitalTwin) accurately represents the main Multicursor parameters (changes in distance of the system from the inspected product and swaps of core components) as close as possible to the real setup. 

• 99% of false positives and false negatives of the anomaly detections are identified by the system software.



To validate developed software (zAnomalyDetector, zAlarm, zMaterialID, zRemoteQC,

zDigitalTwin) this sub-project targets theses use cases:

Use case 1 – local validation on factorie’s curing line.

Use case 2



  • This ZDMP sub-project will help furniture manufacturing companies to switch to smart factories by providing the opportunity to conduct production quality monitoring and control automatically without human intervention, as well as bring furniture production quality control to Industry 4.0.
  • Additionally, it is estimated that the implementation of the Multicursor system will lower the level of defections from 2% to 0.1% (the level of curing is identified by monitoring the cured production – defective items can be returned be cured further), resulting in significant savings for SMEs through the reduction of costs of goods sold, reduction of materials used and higher satisfaction rate of customers.