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

HMI system that uses AI to recognize operators during alerts and show personalized troubleshooting instructions.

Detects critical alarm sounds (e.g., fire alarms) and triggers immediate machine shutdown for safety compliance.

Real-time activity recognition using motion sensor data from wearable fitness devices.

Deep learning model to detect presentation attacks in biometric systems, enhancing security against spoofing attempts.

Speech recognition model for transcribing spoken language into text .

A time-series forecasting model designed to predict sensor data patterns in smart buildings, enabling proactive energy management and maintenance.

A training pipeline for customizing YAMNet to recognize new environmental or industrial sounds.

Deep-learning gesture recognition for touchless HMI in dynamic environments.

Lightweight on-device AI agent for natural interaction and local decision-making without cloud.

Predictive modeling for TBM settlement to enhance safety and planning in tunneling projects.

Facial emotion analysis for adaptive, personalized HMI experiences.