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

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.

Detects face presentation attacks and verifies liveness from RGB images to strengthen biometric authentication systems..

Predicts ground settlement around tunnel boring operations using geotechnical and TBM operational data.

Recognizes hand gestures over time to enable touchless human–machine interaction on edge devices.

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