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.

Flexible model training and validation experience with deployment and inference on SECO edge hardware.

Guided training environment for creating and preparing custom Face Recognition models, with optimized deployment and inference on SECO hardware.