Application Hub

Lightweight real-time people counting model based on quantized YOLOX, optimized for edge devices using LiteRT (TensorFlow Lite) .

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

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

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

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