AIT Seat Cover Inspection and Quality Control with Deep Learning

AIT Seat Cover Inspection mit AIT EasyDL Qualitätskontrolle von Autositzen

Overview
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Overview

Quality inspection of seat covers with Deep Learning

In the production of high-quality seats, the smallest scratches, wrinkles, stains, etc. in the seat covers cannot be avoided despite the highest level of automation and quality controls.

With our Deep Learning solution AIT Seat Cover Inspection with AIT EasyDL, we guarantee reliable detection of these defects even with the most diverse materials.

The Deep Learning System is already successfully in use.

Alle features and advantages

Easy to set up and handle
Automatic and reliable detection of folds, scratches, stains and creases
Use with different materials
Successfully implemented system (reference available)
System based on neural network inspection (Cognex ViDi)
Central computer can control several cameras simultaneously
Article management e.g. for type selection
Communication to assembly line (e.g. Profinet) and production system (e.g. SQL)
Image storage
Optical display of the error on the seat

AIT Seat Cover Inspection Fehler Sitzbezug 1

AIT Seat Cover Inspection Fehler Sitzbezug 2

Further options

With the integration of an interface, it is possible, for example, to integrate a robot that irons the seats or similar in order to remove the detected wrinkles. Each camera can provide the robot with the information in which area (here example 1-12) the automatic ironing should take place.