The deep learning function allows the system to be trained in 4 different inspection areas:
ANALYZE: defect detection, size control
READ: reading demanding OCRs
CLASSIFY: classification of surfaces and materials
LOCATE: verification of assembly and positioning.
DEEP LEARNING TECHNOLOGY ALLOWS AUTOMATIC INSPECTION TO DETECT NON-CONFORMITIES AND NON OBJECTIVE DEFECTS.
BEIKA doesn’t need extensive flaw libraries. The algorithm is trained on a number of known samples to create reference models. Once this training phase is complete, the inspection is ready to begin. Non-conformities can be quickly identified and reported, while tolerating large but insignificant changes in the appearance of the inspected object.
This new approach combines the human performance and flexibility of visual inspection with the reliability and consistency of a computer system.
FOOD & BEVERAGE
BEIKA Two systems can be applied:
–SUPERVISED: it trains the system to the defect (1 neural net for every defect or group of defects)
–UNSUPERVISED: it train the system to what is not defect
EPF proposes innovative systems that become “smart” through artificial intelligence algorithms.
BEIKA solves complex manufacturing applications that are too difficult or time-consuming for standard industrial vision systems to achieve reliable and consistent results through visual inspections by operators.
The applications already successfully executed involve the main production sectors with thousands of references and present very interesting ROI depending on the complexity of the project.
The goal is to achieve zero defect production.
Contact us to fix an appointment in our test room or come to visit our booth at one of the trade shows scheduled for 2022!
-5/8 APRIL 2022: FRANCE INNOVATION PLASTURGIE -EUREXPO – LYON
Request it now!