Additive & Industrial Manufacturing
Inspect your production 90% faster with Machine Vision
In the metallurgy sector, the growing demand for high-quality steel grades requires increasing special attention to the quality assurance process early in the supply chain. As a result, quality control methods to spot common defects, such as those resulting from die casting and welding, are increasingly automated to enhance productivity while guaranteeing a high-level of quality.
Intelligent X-ray inspection
Industrializing defects detection
Deepflow provides NDT technicians with a familiar viewer interface where defects are automatically detected and labeled. With AI algorithms that continuously learn over time from technicians' decisions, detection quality continuously improves and progress can be tracked.
Visual inspection is a drag on productivity
Quality Assurance is undergoing a digital transformation. With more modern equipment, such as digital radiography machines, manufacturers today are able to generate more inspection data faster. But the interpretation of this data to detect defects still remains a manual process. For NDT technicians, the influx of digital data means more data to inspect which lengthens inspection cycles, increases fatigue, and negatively impacts productivity.
Deepflow accelerates visual inspection
Deepflow uses unique Machine Vision technology to automate time-consuming and tiring visual inspection tasks. For example, Deepflow helps NDT technicians automatically spot and label defects on industrial X-ray images which guarantees that no defect is missed while increasing the number of images that can be inspected per cycle without fatigue.
Deepflow on the shop floor
Avg. inspection time / image