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

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.

Transcribes spoken audio into text using Wav2Vec2 for edge-based speech recognition applications.