Making visible what was invisible. Finding dangerous defects and foreign objects, even where it was previously impossible. Assessing competently what is good or bad. And only rejecting what really needs to be removed: With HEUFT’s new deep learning AI for in-depth X-ray image processing, much more is now possible when it comes to full consumer and brand protection with a sustainable reduction in packaging and food waste. The new possibilities will be demonstrated at interpack 2026 in Düsseldorf (booth A45, hall 13).
When detecting foreign bodies in filled food jars and distinguishing them from harmless product and packaging structures, HEUFT reflexx A.I. reveals what previously remained hidden. In inhomogeneous products such as pickled gherkins or red cabbage, glass in glass can even be identified when it is no longer visible to the naked eye or cannot be distinguished in shape and size from non-critical structures.
Proven X-ray image analysis was combined with a multi-layered neural network that goes deeper and thus even processes abstract patterns independently in a meaningful way. This increases detection reliability in inspection with HEUFT eXaminer II systems and reduces the false rejection rate, so that valuable packaging or food is no longer wasted.
More info: heuft.com/interpack26
