Manufacturing Execution & Control Group

MECG Manufacturing Execution & Control Group Robust Response The MEC group focuses on research and development of data analytics and machine learning tools to enable root cause diagnosis and fault-and-failure predictive models to predict machine failures, detect process anomalies and identify hidden capacities. Connectivity with machine controllers, data handling with various data protocols, analogue and digital sensors are also part of the competencies of the group. Relevant Industries Aerospace Built Complex Construction Engineering Services Environment Equipment MedTech Oil & Gas Renewable Energy Semiconductor Transport & Logistics & Healthcare

Customer Story Real-time Camera-based Occupants Tracking Solution A real-time camera-based occupants tracking solution was developed in the Model Factory @ SIMTech by Dr Du Pengfei of the MEC group. This solution uses a Machine Learning-based Activity Recognition Model to sense human activities for better shop-floor management with regard to safety and productivity. The solution projects footfalls in the shopfloor onto a top-down- view map in real time, and provides a person count as well as each person’s information such as compliance to safe distancing, and the wearing of mask and safety vest. By combining Deep Learning AI technologies with SIMTech’s novel Motion Vector-based Objects Tracking algorithm, the solution’s monitoring feature runs more than twice as fast as the state-of-the-art technologies that are currently available. The solution is compatible with existing CCTV systems. MORE STORIES? SCAN HERE Technologies for Transfer Manufacturing Execution (MEX) Shop-floor Health Management (SHM) • SIMProg Data Mining Software • Data acquisition, data sampling and data ETL • Quality Monitoring Management (QMM) Software • Multi-feature extraction for machine fault • Energy Efficiency Monitoring & Analysis System (E2MAS) behaviour modelling • RFID-based track and trace for job order tracking • Overall equipment effectiveness monitoring • Rule-based dynamic job dispatching system • Machine condition monitoring • Data synthesis for imbalanced data modelling • Fault and remaining useful life prediction Singapore Institute of Dr Ian Chan +65 6510 1604 Manufacturing Technology Group Manager (MEC) 2 Fusionopolis Way, #08-04, Innovis, [email protected] Singapore 138634 www.a-star.edu.sg/SIMTech 09/21