Identify efficient production lines and discover anomalies and energy consumption with IoT Measurements and AI-powered Data Analytics

AI-powered Anomaly Detection

Detect sensor malfunctions and anomalies with accuracy

Target

• Ensure the proper operation of sensors and maintain data quality across multiple assets and machines through continuous monitoring.

Results

• Automating the process of verifying the operation and quality of data generated by more than 400 sensors.
• Achieve a substantial reduction in data loss attributed to faulty or inadequately calibrated sensors.
• Enhance sensor data quality through effective calibration activities, ensuring accurate and reliable measurements.
• Enhance machinery monitoring and performance, leading to improved operational efficiency and productivity.