Subventions et des contributions :

Titre :
Investigation on automated inspection of highly reflective automotive parts
Numéro de l’entente :
EGP
Valeur d'entente :
25 000,00 $
Date d'entente :
7 mars 2018 -
Organisation :
Conseil de recherches en sciences naturelles et en génie du Canada
Location :
Ontario, Autre, CA
Numéro de référence :
GC-2017-Q4-01272
Type d'entente :
subvention
Type de rapport :
Subventions et des contributions
Informations supplémentaires :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019).

Nom légal du bénéficiaire :
Mirhassani, Mitra (University of Windsor)
Programme :
Subventions d'engagement partenarial pour les universités
But du programme :

This project investigates the development of an automated non-contact inspection station for quality control ofx000D
highly reflective plastic and chrome-based parts. The developed system is going to be based on machine visionx000D
systems using Ultra Violet light. The inspected parts are used in various sections of the vehicle and are requiredx000D
to be clear of any defects.x000D
The defects are surface faults, rather small in size, and are hard to detect. The current procedure in place isx000D
based on the manual inspection of each part, which is performed in specific lighting stations on thex000D
manufacturing floor. Inspected parts are packaged carefully and shipped to their destination. These parts gox000D
into a second round of manual inspection, and there are always faulty parts within the packages., which arex000D
rejected. These rejects require the Canadian manufacturer to pay fines and increases their productions costs.x000D
The size of the faults, shape of the parts, and the fact that their surface is highly reflective, results in mistakesx000D
during the inspection. Moreover, despite the operator's experience, since the method is based on the judgmentx000D
of the operator at that instance, a change of operator results in different decisions regarding the pass/fail of ax000D
part. Therefore, a reliable and automated method of inspection can not only increase the efficiency of thex000D
system, but also by reducing human error it can result in cost saving in shipping and secondary complaintsx000D
from the overseas assembly plants.x000D
The typical faults are scratch marks, cracks, and surface imperfections, which are highly irregular. Using anx000D
automated, machine vision system, allows the manufacturer to quantify and classify the degree of the defects.