ZADD from ZEISS redefines AI inspection in precision industry

The new ZADD system allows hundreds of different parts to be inspected automatically using a single Python script.
Inspección con IA

ZEISS Industrial Quality Solutions has taken a firm step into the future of industrial inspection with the launch of its new artificial intelligence tool ZEISS Automated Defect Detection (ZADD), which was presented at the ASNT 2025 event . Paul Brackman, X-ray Product Manager and Computed Tomography Software Project Manager at ZEISS, provided key details on the innovations that mark this new stage for the company.

ZADD, the AI-enabled inspection tool

ZADD is an artificial intelligence-based inspection, porosity and inclusion tool, integrated within the ZEISS Inspect 2025 software, that enables more reliable, repeatable and advanced results in the detection of internal defects. detection of internal defects in high-precision parts. This solution is aimed at industries where accuracy is critical, such as automotive, aerospace, medical devices, consumer electronics and plastic injection molding.

Another major advance is the multi-material segmentation functionality, thanks to a new two-material beam hardening correction. This technology improves the resolution of both high and low density materials, optimizing the segmentation of features and defects, as well as the generation of meshes in complex components.

From manual to intelligent

In addition, ZEISS offers advanced customization capabilities through Python scripting, making it easy for global users to automate workflows without starting from scratch, allowing hundreds of parts to be inspected with a single program.

Traceability and repeatability are also enhanced by a fully parametric environment. This means that once a master program is defined, the software automatically recalculates all inspection characteristics upon arrival of new files, eliminating errors due to manual intervention and improving the consistency of results.

With these innovations, ZEISS reaffirms its commitment to quality, efficiency and automation in the field of industrial metrology. industrial metrology .

Source and photo: Inspenet