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Novosibirsk State Technical University has developed an intelligent quality control system for industry. The technology allows you to automatically find cracks, dents, and corrosion spots on a steel surface based on photos from a conventional camera.
The system developed by students of the Faculty of Automation and Computer Engineering is based on a triplet neural network that does not need thousands of ready-made images. The system works effectively with a small number of training examples. Several photos of each type of defect are sufficient for analysis, even if they were taken in low light and at different scales.

Novosibirsk State Technical University (NSTU) has proposed a concept for improving a simulator for auscultation (listening) of breathing in children. The developed solution will improve the auscultation skills of medical students and make the diagnosis of diseases much more effective in practice.