Reference number : GC-2017-Q4-01272, amendment number : , agreement type : G, recipient legal name : Mirhassani, Mitra (University of Windsor), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : This project investigates the development of an automated non-contact inspection station for quality control of_x000D_
highly reflective plastic and chrome-based parts. The developed system is going to be based on machine vision_x000D_
systems using Ultra Violet light. The inspected parts are used in various sections of the vehicle and are required_x000D_
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 is_x000D_
based on the manual inspection of each part, which is performed in specific lighting stations on the_x000D_
manufacturing floor. Inspected parts are packaged carefully and shipped to their destination. These parts go_x000D_
into a second round of manual inspection, and there are always faulty parts within the packages., which are_x000D_
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 mistakes_x000D_
during the inspection. Moreover, despite the operator's experience, since the method is based on the judgment_x000D_
of the operator at that instance, a change of operator results in different decisions regarding the pass/fail of a_x000D_
part. Therefore, a reliable and automated method of inspection can not only increase the efficiency of the_x000D_
system, but also by reducing human error it can result in cost saving in shipping and secondary complaints_x000D_
from the overseas assembly plants._x000D_
The typical faults are scratch marks, cracks, and surface imperfections, which are highly irregular. Using an_x000D_
automated, machine vision system, allows the manufacturer to quantify and classify the degree of the defects., program purpose french : This project investigates the development of an automated non-contact inspection station for quality control of_x000D_
highly reflective plastic and chrome-based parts. The developed system is going to be based on machine vision_x000D_
systems using Ultra Violet light. The inspected parts are used in various sections of the vehicle and are required_x000D_
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 is_x000D_
based on the manual inspection of each part, which is performed in specific lighting stations on the_x000D_
manufacturing floor. Inspected parts are packaged carefully and shipped to their destination. These parts go_x000D_
into a second round of manual inspection, and there are always faulty parts within the packages., which are_x000D_
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 mistakes_x000D_
during the inspection. Moreover, despite the operator's experience, since the method is based on the judgment_x000D_
of the operator at that instance, a change of operator results in different decisions regarding the pass/fail of a_x000D_
part. Therefore, a reliable and automated method of inspection can not only increase the efficiency of the_x000D_
system, but also by reducing human error it can result in cost saving in shipping and secondary complaints_x000D_
from the overseas assembly plants._x000D_
The typical faults are scratch marks, cracks, and surface imperfections, which are highly irregular. Using an_x000D_
automated, machine vision system, allows the manufacturer to quantify and classify the degree of the defects., agreement title english : Investigation on automated inspection of highly reflective automotive parts, agreement title french : Investigation on automated inspection of highly reflective automotive parts, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-03-07, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada