This webinar will cover:
The webinar details the latest inspection techniques and improvements on existing Automatic Optical Inspection systems. Additionally, the webinar gives an in-depth explanation of different technologies and how they can improve the production FPY & overall inspection accuracy WITHOUT operator intervention.
This webinar also touches upon deep learning modules embedded in the new systems, which provide enhanced accuracy, precision, and quality with minimal user intervention.
Eugene Sitoh brings with him over 17+ years of experience with Cyberoptics supporting Inspection Systems. He has an overall 25+ years of experience in leading the Sales & Field Support team in the ASIA Region.
Eugene brings with him a vast plethora of customer and application experience. Early on, he gained experience supporting customers on Motorola mobile phone production. He later progressed to supporting them on state of the art 3D SMT, Semi-Con or metrology applications based on MRS technology.
As a PhD in Machine Learning, Dr Zhu has 18 years of experience in leading R&D. In the past ten years with CyberOptics, he has taken different roles, from SW Manager to Senior Engineering Manager and is currently the Engineering Director.
By leading in various R&D projects in these roles, he has built a sound knowledge of all the system products and sensors.
This webinar will cover:
The webinar details the latest inspection techniques and improvements on existing Automatic Optical Inspection systems. Additionally, the webinar gives an in-depth explanation of different technologies and how they can improve the production FPY & overall inspection accuracy WITHOUT operator intervention.
This webinar also touches upon deep learning modules embedded in the new systems, which provide enhanced accuracy, precision, and quality with minimal user intervention.
Registration for this webinar is now closed. The next webinar will be announced on the homepage soon.
The recording of this webinar will be available soon on this page.