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Post wave soldering AOI for bottom SMT Equipment ALPHA Z5100
Core advantages
AI algorithm,minimalist programming
1.Combining the successful experience of image defect detection and
classification in the extensive semiconductor industry and deep
learning network,it can be compatible with the morphological
changes of solder points,by training massive PCBA defect data,it
can automatically identify devices/solder positions and defect
types and solve the problems of complex traditional AOI operation
long debugging time higt miscalculation and poor consistennel
operation.
Refined defect classification
1.The ledaing in-depth learning target detection model can solve
the problem of only OK/NG rough classification in traditional
algorithms by accurately locating defect locations and accurately
classifying defects,Achieve the effect of very little manual
re-judgment and help the factory to save manpower.
AI Model lndependent learning evolution
1.Zhonghui's self-developed in-depth learning training platform can
regularly collect production line production data so that AI model
can continuously learn incremen-tally so that the equipment can
always maintain high detection and low misjudgment,and ensure the
continous normal production of the factry
Efficient data asset system
1.Excellent mass data technology ability can furthuse use the AOI
machine data to play a role.On this basis,it can expand the defect
analysis,process,quality analysis and other follow -up
applications,to create a closed-loop data system ,help the factory
sustainable to improve the quality of handicrafts.