Averroes

Averroes is a specialized software platform designed for automated visual inspection and virtual metrology in industrial and manufacturing environments. It enables users to build, train, and deploy custom AI vision models without requiring a data science team or coding expertise. The platform operates as a no-code solution, allowing operators, quality engineers, and production managers to create inspection workflows by simply uploading images and labeling defects or anomalies. The core functionality centers on detecting visual defects, surface irregularities, dimensional variations, and assembly errors with claimed accuracy exceeding 99% and near-zero false positives. Users start by uploading a reference image (template) and a sample image of the product under inspection. The AI algorithm then compares them, highlighting any deviations, scratches, cracks, missing components, or color mismatches. This process can be applied to a wide range of products and materials, including electronics, automotive parts, textiles, packaging, metal components, and plastic moldings. The platform supports end-to-end model lifecycle management: users create a project, upload training images (both acceptable and defective samples), label the regions of interest, train a custom model using automated machine learning, and finally deploy that model onto the inspection line. No manual parameter tuning or deep learning expertise is needed. The training process is accelerated by pre-trained base models that adapt to the user’s specific products. For production deployment, the software can run on edge devices, local servers, or cloud infrastructure. It integrates with existing camera systems, conveyor belts, and PLCs through standard APIs and industrial protocols. Real-time inference is performed