Hot melt adhesive AOI equipment

Product Introduction

Using opto-mechanical integration solutions, machine vision instead of human eyes, and deep learning algorithm models instead of manual inspection, real-time output of inspection results.

Escape(Functional defects)
%

Escape(Non functional defects)
%

<0.3

Overkill
%

Beat CT
s/pcs

<=12

Items

Types of defects include concentricity, locating hole size, layout size, nesting size, lack of glue, deformation, pinch waste, failure to discharge waste, fat glue, plugged holes, templates are not matched, and so on.
Advantages

Algorithms and equipment flexible design, support a variety of hot melt adhesive product detection rapid model change, based on the adhesive defect library, the establishment of a universal detection model, rapid support for new models. Equipped with 3D vision algorithms and deep learning models, it can detect multiple types of circular products and output detection results in real time.
Effects

Replace manual inspection with TimesAI deep learning algorithmic models for improved efficiency.