Efficient single-camera depth estimation using quantized MiDaS v2 model optimized for edge AI deployment.

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

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

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

Bridging the Field and Digital: Universal Connectivity, Zero Latency, and On-Device Machine Learning for Industry 5.0.