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

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

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

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

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

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

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

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

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

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

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

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

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