Module after welding testing equipment
In the production process, it can detect whether there are defects in the weld after welding of the module, whether there are bad defects in the weld, such as burst holes, pores, pinholes, residual height, collapse, width, length, blackening, pits, convex points, height differences, deviation, etc. Realize surface defect detection and automatic defect classification, data storage analysis, ng alarm and other functions
The combination of high-performance 2D camera and 3D camera enables continuous detection of defects in the production process, and the combination of traditional image processing algorithms and AI artificial intelligence algorithms enables accurate identification and automatic classification of defects, with a false negative rate of 0%.
| Device function | On-line detection of defects in the welding process of sealing nails |
| Range of application | Inspection of weld appearance after welding |
| Detection content | There are no weld holes, burst holes, pores, pinholes, residual height, collapse, width, length, blackening, pits, convex points, height differences, deviation, etc |
| Loading and unloading method | Docking production line, fully automatic loading and unloading |
| Efficiency of productivity | 40s/pcs |
| False negative rate | 0% |
| False positive rate | ≤0.5% |
