Join us for an insightful session exclusive seminar focused on Harnessing AI Deep Learning Machine Vision to Inspect Complex Metal Surfaces with Robotics.

As the demand for efficiency and digitization in aerospace manufacturing grows, advanced technologies such as AI deep learningmachine vision are playing a pivotal role in the inspection of complex metal parts. During this seminar, we will demonstrate how robotics, particularly cobots (collaborative robots) and mobile robots, are integrated into these systems to enhance inspection capabilities and improve operational efficiency.

• AI Deep Learning Machine Vision: How these technologies enable the detection of surface defects in complex metal parts with unprecedented accuracy.
• Cobots and Mobile Robots for flexibility: mobile robots and cobots allow for system mobility, enabling the inspection of large parts and movement between different stations in manufacturing environments.
• Real-World Applications and Demo: Case studies and industry examples showcasing these systems.
• Future Trends: the aerospace sector can further leverage these digitization technologies for data analytics/predictive maintenance to improve quality and streamline production.

Register and join us for this informative session.

Date : 27 September 2024 (Wednesday)

Time : 2.00pm - 5.00pm

Location : JTC Business Centre 

Address : 690 West Camp Road, #03-04 JTC Aviation Two, Seletar Aerospace Park, S 797523

Light refreshments will be served.

Whether you're an engineer, quality control expert, or involved in aerospace manufacturing, this seminar will provide you with insights into metal surface defect inspection.

With a focus on robotics, AImachine vision, we will showcase how these technologies can optimize manufacturing processes and enhance product quality.