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.

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

Deep learning system to upscale and enhance low-resolution images while preserving fine details.

Detects faces and performs face recognition using a lightweight Edge Impulse pipeline designed for edge devices.

Identifies or verifies speakers from voice recordings using robust ECAPA-TDNN speaker embeddings.

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

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

Energy-efficient, real-time object detection optimized for low-power edge devices with strict battery and thermal constraints.

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.