Wizer Intuit is a self-learning machine software, which was developed from a hybrid of Machine Vision and AI. Utilizing its unique AI/Machine Vision approach, Wizer Intuit is able to solve complex issues for defect inspection.
The standard neural algorithm will need lots of data for improved processing. Wizer Intuit only require a small group of good products (about 100pcs) to achieve strong results quickly.
As good products or images are used to carry out the learning process. It significantly reduces the development time taken to create a solution, as compared to traditional Machine Vision and deep learning approach.
Defects Screening, after the software learning process is completed, adjustment will only be needed for the strength & size tolerances.
Yield Monitoring, many data can be collected for reporting purposes to make prompt decision. This includes the time & period for collection, yield details, warning, etc.
Illumination & Program Control, the digital control of the illumination can be managed for different projects or product type. This will allow for auto change for the light intensity.
Wizer Intuit provides a viable solution for defect inspection for applications to meet its design rules. With traditional Machine Vision, the inspection capability can potentially be enhanced even further.
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