ForgePuls deploys inline computer vision across your forging and casting lines. Shrinkage porosity, cold shuts, and dimensional drift get flagged at the press - not in the QC lab six hours later.
Purpose-built detection models trained on 4.2 million labeled images from sand casting, die casting, and closed-die forging environments.
Identifies hot tears, cold cracks, and grinding cracks using gradient-based edge models. Detection threshold configurable down to 0.08mm.
Subsurface porosity visible only under CT becomes detectable at the surface using multi-spectral imaging. Correlates with downstream CT scan data to train continuously.
Tracks part geometry against nominal CAD tolerances across a production run. Flags die wear or thermal drift before tolerance windows close.
Measures flash thickness and location relative to the parting plane. Distinguishes acceptable flash from trim-required conditions automatically.
Links defect rates back to press tonnage, billet temperature, lubrication interval, and dwell time. Tells you which process variable is upstream of your rejects.
Native OPC-UA 1.05 support. Writes inspection results directly into your MES, ERP, or SPC system. No middleware layer, no CSV exports.
We designed around the reality that foundries can't stop a line for a week of integration work.
Industrial cameras mount on existing press or conveyor positions. Ethernet to your plant network. No new servers required - edge processing runs on the ForgePuls node.
Run 30-40 known-good parts through the camera field. Our calibration tool builds a baseline model for your specific geometry, surface finish, and alloy grade.
Go live. Every inspection result feeds the model. Accuracy compounds over weeks. Your quality team reviews flagged parts and the system learns from corrections.
Consumer-grade vision systems fail at foundry temperatures and vibration levels. ForgePuls hardware is rated to IP67 with operating temperature range of -10 to 75C. Shock-resistant enclosures standard on all nodes.