Real-time face detection for industrial HMI applications.

Classifies physical activities in real time from wearable motion sensor data.

Detects visible facial attributes such as eye closure, mask presence, eyeglasses, and sunglasses on edge devices.

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

Classifies human actions from video sequences to support activity understanding, workflow analysis, and safety applications.

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