Secure face recognition HMI system for personalized user access in industrial environments.

Deep learning model to detect presentation attacks in biometric systems, enhancing security against spoofing attempts.

A training pipeline for customizing YAMNet to recognize new environmental or industrial sounds.

Deep-learning gesture recognition for touchless HMI in dynamic environments.

Predictive modeling for TBM settlement to enhance safety and planning in tunneling projects.

AI vision application to detect human falls in real time for safety, elderly care, and industrial risk monitoring.

Deep learning solution that classifies human actions in video streams for workflow analysis and operational safety.

Guided training environment for creating and preparing custom Face Recognition models, with optimized deployment and inference on SECO hardware.

Energy-efficient object detection optimized for edge platforms with power and thermal constraints.