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.

Fast object detection using YOLOX optimized for embedded edge devices.

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

Efficient CNN model for image classification on mobile and embedded edge devices.

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

Lightweight semantic segmentation model optimized for real-time street scene analysis on edge devices.

Neural network model for forecasting household electricity consumption using historical time series data.

Lightweight anomaly detector for time series data using Isolation Forest, designed for edge environments.

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 AI-powered vision system for detecting defects in manufacturing environments