Laser WeldingInspection
Catch ghost welds, porosity, spatter, and penetration faults in real time. From battery tab welds and shielding cans to bus bars and hermetic seals, every weld inspected, every cycle, with pixel-level localization.
Battery laser welding case study, real production line
Where Our Cameras Run Laser Welds
From battery gigafactories to high-density connector assemblies.
Real AI Pass and Defect calls on weld beads
Pixel-level weld deviation measurement
Real AI pass and fail calls on welds
Laser Weld Defects We Detect
Battery Cell Tab Welding
Gigafactory lines run battery tab laser welds at thousands of cells per hour, and a single ghost weld can produce a thermal runaway risk months later in the field. Overview AI inspects every weld for porosity, undercut, spatter, ghost welds, and pinholes. The OV80i resolves features down to 10 microns across the full tab, replacing destructive sampling and AOI systems that miss subsurface fusion issues.
Shielding Can & RF Module Welds
RF shielding cans on cellular and satellite modules require continuous laser seam welds for EMI integrity. Penetration variation, weld dropout, and edge melt-through compromise shielding and pressure seal. Our vision system grades each seam on continuity, width consistency, and surface oxidation, integrating directly with PLC reject mechanisms to remove failed parts before downstream encapsulation.
Bus Bar & Busplate Joints
EV battery packs and inverter assemblies use copper-to-aluminum laser welds for current-carrying interconnects. The reflectivity mismatch produces inconsistent weld geometry that breaks rule-based vision. Overview AI trains on a few dozen real production samples and reliably classifies good vs. cold weld vs. burn-through, with X-Y coordinates passed to the line controller for automatic part diversion.
Sensor Housing & Hermetic Seal Welds
Pressure sensors, MEMS packages, and medical electronics rely on hermetically sealed laser welds. Even microscopic porosity destroys seal integrity. Our vision system finds the defects that destructive helium-leak sampling can only catch after the fact, providing 100% inline coverage and flagging trend drift before it becomes a containment event.
Built for the Reality of Laser Welding
Reflective surfaces, sub-pixel features, and continuously evolving defect modes. We handle all three without a vision engineer on-site.
Subsurface Defect Sensitivity
AI models trained on real production data catch ghost welds and microporosity that AOI and rule-based vision systematically miss.
Line-Speed Inference
On-device inference at up to 70 TOPS keeps cycle times intact, even at gigafactory cadence. No cloud round-trips.
Retrain Without Engineers
When the line introduces a new alloy, fixture, or weld geometry, your QC team retrains the model in under an hour. No vendor tickets.
Ready to Catch Every Laser Weld Defect?
Bring your defect images. We will build a working pilot model in a single session.