Aivaro AI Feature Detection software module

AI defect detection software uses machine learning and computer vision algorithms to identify, classify, and analyze defects in components and materials using images acquired during inspection processes. It helps accelerate quality control tasks and supports more consistent evaluation of samples for manufacturing and research.

Traditional inspection relies on predefined thresholds and rules, while AI models learn patterns from image datasets. This approach allows AI systems to adapt to complex variations, detect subtle defects, and improve inspection performance concerning applications where variable sample characteristics are observed.

AI inspection software can detect surface irregularities, cracks, contamination, scratches, voids, dimensional deviations, material defects, assembly errors, and other image-visible abnormalities. Detectable defects on samples depend on image quality, training data, and inspection objectives.

Yes. AI models can analyze images acquired with inspection microscopes to identify microscopic defects and manufacturing imperfections. This approach is especially useful when manual review is time-consuming or subject to variability.

AI-training requirements vary by application, defect complexity, and model type. Many projects begin with representative image datasets containing both acceptable and defective samples to train the AI model. Higher-quality annotations and diverse examples generally support stronger model performance. The ready-to-train base model of the Aivaro AI Feature Detection software module makes it simple as only 5 to 10 images per class are required for many sample types.

Segmentation and classification identify predefined defect categories learned during AI training. Anomaly detection identifies images or regions that differ from expected patterns, including previously unseen defects. These AI-based approaches can support quality inspection workflows depending on inspection goals.

AI inspection software is typically integrated with image acquisition systems, industrial microscopes, automated inspection stations, and quality management processes. Inspection results can be reviewed, stored, analyzed, and used to support quality decisions during manufacturing and process improvement.

All Leica microscope solutions which work with the Enersight software platform. 

No, only standard computer hardware is needed. 

No, Aivaro AI Feature Detection works directly on-site.