Trade fair highlight 01. October 2024
Anomaly Detection for the Series Production in Injection Molding
OSPHIM’s anomaly detection for injection molding involves identifying deviations in the manufacturing process like outliers and trends that could lead to higher scrap rates. Utilizing state-of-the-art statistical methods and self-developed algorithms, our system monitors parameters such as maximum injection pressure, melt cushion or dosing and cycle time to
detect unusual patterns. Early detection of anomalies helps prevent defective products, reduces waste, and enhances overall production efficiency. Implementing effective anomaly detection ensures consistent quality and optimizes your injection molding processes!
detect unusual patterns. Early detection of anomalies helps prevent defective products, reduces waste, and enhances overall production efficiency. Implementing effective anomaly detection ensures consistent quality and optimizes your injection molding processes!