Robotics & Automation in Modern Manufacturing
Smart Systems & Predictive Intelligence
Robotics & Automation
Sensors and edge devices deployed across the shopfloor enable legacy equipment and machinery systems to become “Smart”. Intelligence is added to these systems by collating data, using edge computing devices to locally or globally process this data, and provide computational intelligence to drive informed decision making.
This leads to a host of benefits including real-time monitoring & control, reduced latency, improved scalability, enhanced privacy, cost-efficiency to complement accurate and faster decision making.
Using data, statistical algorithms, and machine learning techniques, historical data is analyzed to make predictions about future events or outcomes.
Valuable insights are extracted from past patterns and trends to forecast what might happen in the future.
Key Objectives
Smart Operations
Enable smart operations on legacy machinery and equipment by deploying sensors and edge devices for data collection.
Predictive Intelligence
Provide predictive intelligence using edge and cloud computing to analyze historical data and forecast future outcomes.
Enhanced Decision-Making
Improve the accuracy and speed of decision-making by leveraging computational intelligence from processed data.
Optimized Resources
Optimize scalability and resource utilization while ensuring data privacy and reducing operational latency.
Domains & Technologies
- Sensors & Edge Devices
- Automation Systems
- Robotics
- Data Analytics & Machine Learning
- Predictive Intelligence
- Real-time Monitoring & Control
Benefits Summary
- Real-time Monitoring & Control
- Reduced Latency in Operations
- Improved Scalability for Production
- Enhanced Data Privacy
- Cost-Efficiency and Faster Decision Making