Application Hub

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

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

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

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.

Secure face recognition HMI system for personalized user access in industrial environments.

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

Speech recognition model for transcribing spoken language into text .

Acoustic event detection for machinery monitoring and anomaly prevention in noisy industrial settings.