Real-time face detection for industrial HMI applications.

AI-assisted HMI that detects operator presence during machine alerts and provides contextual troubleshooting information.

Real-time detection of critical alarm and emergency sounds for industrial safety applications.

Real-time people detection and counting for industrial and monitoring applications.

Lightweight and quantized PoseNet model for real-time multi-person pose estimation on edge hardware.

High-resolution neural network for accurate keypoint detection in human pose estimation tasks.

Transcribes spoken audio into text using the Whisper speech recognition model, optimized for edge inference.

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.

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