AI Powered Inspection - Enabling Superior Results
SPECTRO provides smarter visual inspections using HACARUS’ proprietary Sparse Modeling based AI technology.
Where traditional AVI / AOI systems are prone to false positives, SPECTRO excels and enables factory automation by vastly reducing the amount of reclassification needed by human inspectors.
What’s more, SPECTRO is able to train its AI models faster, with far less data – all the while, achieving more accurate results when compared with competing solutions. Inspection targets supported includes substrates, precision parts, metals and plastics among other materials.
A Heat map visualization highlights the extend to which parts of an object are contributing to the inspection result – providing a transparent explainability of the results.
Automatically recognizes the inspection object and separates it from the background – leading to precise prediction results even when the object placement differs.
IoU- and Anomaly Score
Indicates the likeliness of a defect and the precision of the located anomaly, allowing for efficient evaluation and tuning of inspection models.
Step by Step guide
A Versatile Tool
SPECTRO’s modular architecture supports multiple options for deployment and integration – easily adoptable to your use case.
Proven Superior Performance
When comparing SPECTRO’s performance with Classifier (SVM) and Deep Learning (CNN) techniques for detection of defects on Solar Cells, SPECTRO far outperforms the competition. Not only is accuracy higher, but SPECTRO also creates AI models faster – even when using a far smaller dataset.