Case Study: a petrochemical company improves PU film quality control with ScienceSoft’s real-time defect recognition software

Petrochemical Company detects PU film defects in real time with ScienceSoft

A petrochemical company faced challenges in guaranteeing the quality of its polyurethane film and needed to modernize its quality control process. The company engaged ScienceSoft to develop custom software for real-time defect recognition.

ScienceSoft delivered a Windows-based image recognition application that uses machine learning and computer vision to analyze camera footage. The solution detects defects in real time, allowing for informed decisions that improved production quality. ScienceSoft's application also provides statistical reports on defect dynamics and is built for future integration with the client's manufacturing systems.