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.

Segments foreground objects from image backgrounds to support automated industrial vision and inspection workflows.

Detects and maps land-cover changes from multi-temporal satellite or aerial imagery for environmental monitoring and urban analysis.

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