GoodVisionMetalFoil

GoodVisionMetalFoil

The GoodVisionUI printing quality detection software adopts high-speed image processing algorithm research, multi-core and multi-threaded. On the basis of traditional image algorithms, customized development is carried out for hundreds of defects. AI is used to enhance image learning and prediction capabilities, and intelligent classification processing is carried out for defects, including convolutional scanning, pooling, feature data flattening, self-learning, false defect filtering, intelligent prediction, etc. At the same time, the software can also analyze, count, store, and trace detected defects.

Software features

Humanized operation interface, clear detection information at a glance

Simple and fast modeling, supporting single-sided and double-sided detection, simplifying modeling steps, one click modeling, easy to operate

The defect classification is precise and typical, which can directly meet the printing production needs, as well as name and define defects according to user needs

A high-speed detection algorithm with multiple defect filtering, fully realizing fast detection without missed detections

Detectable defects

Surface defects such as bumps, indentations, white spots, copper particles, copper powder, foreign objects, folds, blisters, scratches, wrinkles, black spots, oxidation spots, foreign object indentation, dot dragging, blistering, stains, etc.

Convex-concave point

LIght spot

Black spot

Scratch

Indentation

Fold

Needle eye